Relevant bibliographies by topics / CCTV cameras

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'CCTV cameras'

Author: Grafiati
Published: 11 December 2022
Last updated: 26 January 2023

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Journal articles on the topic "CCTV cameras"

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Molepo, Samuel P. S., Gabriel Faimau, and Kebonyengwana T. O. Mashaka. "CCTV placement in Gaborone City, Botswana." Kriminologija & socijalna integracija 28, no. 2 (December 21, 2020): 144–63. http://dx.doi.org/10.31299/ksi.28.2.1.

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Public surveillance technology through the installation of Closed-Circuit Television cameras (CCTV) has been widely acknowledged as a tool for monitoring population movements and preventing crime. Based on this technological value, the installation of CCTV cameras has become a growing trend in many cities globally. The year 2018 will be remembered as the year when CCTV cameras were first installed in the city of Gaborone, Botswana, and its surrounding villages for purposes of detecting criminal activities and preventing crime. The value of CCTV cameras in preventing crime and as an investigative tool has been an area of interest among researchers. Among scholarly studies on this field, the focus has been on the effectiveness of CCTV cameras in preventing crime and their value as an investigative tool. Since CCTV cameras have just been installed in the city of Gaborone, it may be too early to evaluate the extent to which they effectively prevent crime in this city. The purpose of this study is to document the use of public surveillance cameras in Gaborone and its surrounding areas and assess their geographic placement in light of the principles of Situational Crime Prevention (SCP) theory. Using data collected through site observation and key informant interviews, we argue for a rigorous review and assessment of the current installation and placement of CCTV cameras in Gaborone city and further scholarly study to measure and evaluate the effectiveness of CCTV camera use for crime prevention in this city.
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Ahmad, Arman. "Rotatable WIFI Security Camera using ESP32 Cam." International Journal of All Research Education & Scientific Methods 10, no. 05 (2022): 1017–19. http://dx.doi.org/10.56025/ijaresm.2022.10506.

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The security cameras like CCTV (Closed Circuit Television) are tools that can minimize theft in both private homes and public places. But the problem with most of the CCTV and security cameras are that they are not having the mechanisms that can be used to monitor the place at an angle that is difficult to reach by a CCTV camera, i.e. they cannot be panned and tilted to reach an angle that is difficult to reach. Also, the CCTV cameras are not portable, are not wireless and requires a dedicated systems in order to be operable. In this study, a simulation tool was designed that combines an ESP32 Camera Module, that can be programmed using Arduino IDE, with 180 degree rotatable SG90 servo motors, in order for it to rotate horizontally and vertically. Its cost is significantly lesser than the cost of a moving CCTV camera, and it can be controlled from anywhere in the house within the WIFI range and its wireless. And with this simulation can be an alternative of CCTV cameras. Also, the requirement for a dedicated system and a dedicated person for the surveillance is absent, as it can be accessed from anyone having the WIFI credentials and within the range of the wifi network. Dedicated system is not required as it only needs a smartphone or PC/laptop for viewing camera footage
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Ratcliffe, Jerry H., and Elizabeth R. Groff. "A Longitudinal Quasi-Experimental Study of Violence and Disorder Impacts of Urban CCTV Camera Clusters." Criminal Justice Review 44, no. 2 (December 3, 2018): 148–64. http://dx.doi.org/10.1177/0734016818811917.

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Methodological challenges have hampered a number of previous studies into the crime reduction effectiveness of closed-circuit television (CCTV) surveillance systems. These have included the use of arbitrary fixed distances to represent estimated camera deterrence areas and a lack of control for camera sites with overlapping surveillance areas. The current article overcomes the first of these challenges by using camera view areas individually constructed by researchers viewing and manipulating cameras to determine precise camera viewsheds. The second challenge is addressed by grouping cameras into clusters of combined viewshed areas. The longitudinal crime and disorder reduction effectiveness of these clusters of overlapping CCTV cameras is tested in Philadelphia, PA. Multilevel mixed-effects models with time-varying covariates and measures from a noncomparable control area are applied to 10 years of crime data (2003–2012) within the viewsheds of 86 CCTV cameras grouped into 13 clusters. Models applied across violent street felonies and disorder incidents find no significant impact associated with the introduction of CCTV surveillance. Potential reasons for this are discussed.
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Pack, Michael L., Brian L. Smith, and William T. Scherer. "Automated Camera Repositioning Technique for Video Image Vehicle Detection Systems: Integrating with Freeway Closed-Circuit Television Systems." Transportation Research Record: Journal of the Transportation Research Board 1856, no. 1 (January 2003): 25–33. http://dx.doi.org/10.3141/1856-04.

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Transportation agencies have invested significantly in extensive closed-circuit television (CCTV) systems to monitor freeways in urban areas. While thes systems have proven to be very effective in supporting incident management, they do not support the collection of quantitative measures of traffic conditions. Instead, they simply provide images that must be interpreted by trained operators. While there are several video image vehicle detection systems (VIVDS) on the market that have the capability to automatically derive traffic measures fro video imagery, these systems require the installation of fixed-position cameras. Thus, they have not been integrated with the existing moveable CCTV cameras. VIVDS camera positioning and calibration challenges were addressed and a prototype machine-vision system was developed that successfully integrated existing moveable CCTV cameras with VIVDS. Results of testing the prototype are presentedindicating that when the camera’s initial zoom level was kept between ×1 and ×1.5, the camera consistently could be returned to its original position with a repositioning accuracy of less than 0.03 to 0.1 regardless of the camera’s displaced pan, tilt, or zoom settings at the time of repositioning. This level of positional accuracy when combined with a VIVDS resulted in vehicle count errors of less than 1%.
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Aballe, Sean Kenneth B., Bandala, Cherry Mae C., Mercado, Jay R., Rejes Nely H., Teopisto Y. Culanag Jr., and Jose f. Cuevas Jr. "Security Measures: Effectiveness of the Installation of CCTV Cameras in Relation to Crime Prevention as Perceived by the Community." Middle East Journal of Applied Science & Technology 05, no. 02 (2022): 149–60. http://dx.doi.org/10.46431/mejast.2022.5216.

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Closed Circuit Television (CCTV) camera have recently become an indispensable part of daily life. Cameras are of vital importance as significant elements of security systems in different buildings and establishments such as houses, stores, and shopping malls. Also, millions of CCTV cameras are installed in streets with the goal of reducing crimes, preventing crimes, and increasing public safety. Effectiveness of the installation of CCTV cameras in relation to crime prevention aims to determine the effectiveness of CCTV cameras in the selected barangays of Ozamiz City, usefulness in crime prevention with respect to traffic violations, crimes against person and crimes against properties and to propose an action-based plan based on the results of the study. The study utilized descriptive-correlational design, mean and standard deviation was used to analyze the gathered data. Results revealed that the installation of CCTV cameras are very effective in crime prevention as it monitors and records the scenes 24/7 that can help in solving any reported crimes such as theft or robbery incident. Moreover, the installation of CCTV cameras is very useful in crimes against person and crimes against properties as well as in preventing traffic violations because CCTV can be used as evidence in court, and it will help the authorities solve any crimes and when drivers are aware that CCTV are monitoring the roads and traffic, they will adhere to the laws set by the authorities for fear of getting penalized.
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Mualfah, Desti, and Rizdqi Akbar Ramadhan. "Analisis Forensik Metadata Kamera CCTV Sebagai Alat Bukti Digital." Digital Zone: Jurnal Teknologi Informasi dan Komunikasi 11, no. 2 (November 7, 2020): 257–67. http://dx.doi.org/10.31849/digitalzone.v11i2.5174.

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Kejahatan konvensial yang terekam kamera CCTV (Closed Circuit Televison) semakin banyak ditemukan di masyarakat, setiap pelaku kejahatan yang terbukti melakukan tindak pidana tertentu akan dihukum sesuai dengan peraturan perundang-undangan. Kamera CCTV memiliki peran penting dalam keamanan, banyak diantaranya hasil tangkapan rekaman kamera CCTV dijadikan sebagai alat bukti digital. Tantangannya adalah bagaimana teknik yang diperlukan untuk penanganan khusus investigasi digital forensik dalam mencari bukti ditgital rekaman kamera CCTV menggunakan metode live forensik, yaitu ketika barang bukti dalam keadan aktif berdasarkan pedoman SNI 27037:2014 sesuai acuan kerangka kerja Common Phases of Computer Forensics Investigation Models untuk di implementasikan ke dalam dokumen Chain of Custody. Hasil penelitian ini berupa hasil analisis video rekaman kamera CCTV tentang karakteristik bukti digital dan informasi metadata yang digunakan untuk memberikan penjelasan komprehensif secara terstruktur serta acuan pengelolaan informasi data yang didapat dari hasil investigasi digital forensik yang dapat dipertanggungjawabkan dalam persidangan. Kata kunci: Bukti Digital, Live Forensik, Metadata, Kamera CCTV, Chain of Custody. Abstract Conventional crimes that are recorded on CCTV (Closed Circuit Television) cameras are increasingly being found in society, every crime that commits certain crimes will be in accordance with statutory regulations. CCTV cameras have an important role in security, many of which are recorded by CCTV cameras used as digital evidence. The challenge is how the techniques required for special handling, digital forensics in searching for digital evidence of CCTV camera footage using the live forensic method, namely when the evidence is in an active state based on the latest SNI 27037: 2014 according to the framework reference Common Phases of Computer Forensics Investigation Models for in implement it into the Chain of Custody document. These results of this research are in the form of analysis of CCTV camera video recordings about the characteristics of digital evidence and metadata information used to provide a structured comprehensive explanation and reference data management information obtained from the results of digital forensic investigations that can be accounted for in court. Keywords: Digital Evidence, Live Forensic, Metadata, CCTV Camera, Chain of Custady.
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Arfan, M., Ahmad Nurjalal, Maman Somantri, and Sudjadi. "Pengenalan Aktivitas Manusia pada Area Tambak Udang dengan Convolutional Neural Network." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 5, no. 1 (February 28, 2021): 174–79. http://dx.doi.org/10.29207/resti.v5i1.2888.

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Thievery is a problem that can harm theft victims. Thievery usually occurs at night when there is no supervision of goods in a location. To avoid thievery and monitor conditions in a location, CCTV (Closed-Circuit Television) cameras can be used. However, the function of CCTV camera systems is only a passive monitoring systems. In this paper, a human activity recognition is designed using CCTV cameras to produce a security system. Inputs on the recognition process are videos obtained from CCTV cameras installed in the shrimp pond. Human activity recognition that is used in this study is Convolutional Neural Network. Before the human activity recognition was carried out, the program first detected humans with the YOLO (You Only Look Once) algorithm and tracking it with the SORT (Simple Online and Realtime Tracking) algorithm. The results obtained from the human activity recognition is class labels on human objects that are tracked.
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Orisa, Mira, Karina Auliasari, and Rofila El Maghfiroh. "TEKNOLOGI MOTION-BASED TRACKING UNTUK PENGEMBANGAN APLIKASI KEAMANAN." Jurnal Teknologi Informasi dan Terapan 4, no. 2 (April 1, 2019): 119–24. http://dx.doi.org/10.25047/jtit.v4i2.69.

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The surveillance camera system is widely used by the public. The surveillance camera system used is usually a CCTV camera. In general, CCTV cameras can only record video. Security monitoring or monitoring by CCTV cameras can only be effective if there are operators who see the record directly on a monitor. Actually the surveillance camera system can be programmed to give a warning sign to the user. The surveillance camera used in this study is the IP camera. The camera is a camera that can be programmed to provide a notification to the user. By implementing motion-based tracking technology on the surveillance camera system can detect movement. Kalman filter is one of the motion-based tracking methods. Kalman filters can predict the movements recorded by the IP camera. The results of this study state that the surveillance camera system can provide notification messages to users via an android device when the surveillance camera records the movement of human objects.
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Adhinata, Faisal Dharma, Muhammad Ikhsan, and Wahyono Wahyono. "People counter on CCTV video using histogram of oriented gradient and Kalman filter methods." Jurnal Teknologi dan Sistem Komputer 8, no. 3 (May 26, 2020): 222–27. http://dx.doi.org/10.14710/jtsiskom.2020.13660.

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CCTV cameras have an important function in the field of public service, especially for convenience. The objects recorded through CCTV cameras are processed into information to support service satisfaction in the community. This study uses the function of CCTV for people counting from objects recorded by a camera. Currently, the process of detecting and tracking people takes a long time to detect all frames. In this study, the frame selection into keyframes uses the mutual information entropy method. The keyframes processing uses the Histogram of Oriented Gradient (HOG) and Kalman filter methods. The proposed method results F1 value of 0.85, recall of 76 %, and precision of 97 % with winStride parameter (12,12), scale 1.05, and the distance of the human object to CCTV 4 meters.
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Timan, Tjerk, and Nelly Oudshoorn. "Mobile cameras as new technologies of surveillance? How citizens experience the use of mobile cameras in public nightscapes." Surveillance & Society 10, no. 2 (September 20, 2012): 167–81. http://dx.doi.org/10.24908/ss.v10i2.4440.

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In surveillance studies the terms “sousveillance” and “inverse surveillance” describe forms of surveillance that have a bottom-up and democratic character. However, in this paper this democratic notion is questioned by looking into practices and experiences with both Closed Circuit Television (CCTV) and mobile cameras by Dutch citizens. By intervening in the nightlife district of the Rotterdami city centre, data has been gathered on both mobile- and CCTV camera confrontations. From this, an exploration is made into how mobile cameras are experienced in the Nightlife landscape. Comparing these experiences with CCTV provides insight into new surveillance issues that emerge due to the mobile camera. The perspective of analyzing surveillance technologies as hybrid collectives that may take different shapes in different places, allows for a contribution that attempts to improve our understanding of the current changes in the surveillance technology landscape.i Rotterdam is the second largest city in the Netherlands.
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Dissertations / Theses on the topic "CCTV cameras"

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Pantoja, Cesar. "Detecting riots with uncertain information on the semantic web." Thesis, Queen Mary, University of London, 2017. http://qmro.qmul.ac.uk/xmlui/handle/123456789/24733.

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The ubiquitous nature of CCTV Surveillance cameras means substantial amounts of data being generated. In case of an investigation, this data must be manually browsed and analysed in search of relevant information for the case. As an example, it took more than 450 detectives to examine the hundreds of thousands of hours of videos in the investigation of the 2011 London Riots: one of the largest the London's MET police has ever seen. Anything that can help the security forces save resources in investigations such as this, is valuable. Consequently, automatic analysis of surveillance scenes is a growing research area. One of the research fronts tackling this issue, is the semantic understanding of the scene. In this, the output of computer vision algorithms is fed into Semantic Frameworks, which combine all the information from different sources and try to reach a better knowledge of the scene. However, representing and reasoning with imprecise and uncertain information remains an outstanding issue in current implementations. The Demspter-Sha er (DS) Theory of Evidence has been proposed as a way to deal with imprecise and uncertain information. In this thesis we use it for the main contributions. In our rst contribution, we propose the use of the DS theory and its Transferable Belief Model (TBM) realisation as a way to combine Bayesian priors, using the subjectivist view of the Bayes' Theorem, where the probabilities are beliefs. We rst compute the a priori probabilities of all the pair of events in the model. Then a global potential is created for each event using the TBM. This global potential will encode all the prior knowledge for that particular concept. This has the bene t that when this potential is included in a knowledge base because it has been learned, all the knowledge it entails comes with it. We also propose a semantic web reasoner based on the TBM. This reasoner consists of an ontology to model any domain knowledge using the TBM constructs of Potentials, Focal Elements, and Con gurations. The reasoner also consists of the implementations of the TBM operations in a semantic web framework. The goal is that after the model has been created, the TBM operations can be applied and the knowledge combined and queried. These operations are computationally complex, so we also propose parallel heuristics to the TBM operations. This allows us to apply this paradigm on problems of thousands of records. The nal contribution, is the use of the TBM semantic framework with the method to combine the prior knowledge to detect riots on CCTV footage from the 2011 London riots. We use around a million and a half manually annotated frames with 6 di erent concepts related to the riot detection task, train the system, and infer the presence of riots in the test dataset. Tests show that the system yields a high recall, but a low precision, meaning that there are a lot of false positives. We also show that the framework scales well as more compute power becomes available.
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O'Meara, Laura Ann. "I'm Ready for My Close-Up: Cameras as a Privacy Issue in State and Federal Courts." Walsh University Honors Theses / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=walshhonors158807949418986.

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Derby, Patrick M. "Interrogating the 'selective gaze' of Canadian CCTV operators: Perspectives from behind the camera's lens." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27513.

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A new field of research commonly referred to as 'surveillance studies' has emerged over the past decade. Despite work being done in this area long before September 11, 2001, the acts of terrorism which occurred on that day, and the subsequent response by several states have spawned an explosion of interest in this area. This study looks beyond post-9/11 surveillance practices and technological obsessions, delving into the 'black box' to explore how CCTV surveillance is conducted within the institutions of everyday life. Drawing on ten interviews and covering eight sites that employ CCTV surveillance this research explores how camera operators organize and perceive their work. Of specific interest is developing an understanding of how CCTV operators determine whom and/or what requires their attention. The researcher interrogates the 'selective gaze' of CCTV operators to reveal that their gaze is frequently directed by information they receive from other sources. This study also corroborates Norris and Armstrong's (1999) suggestion that an individual operator's own values and beliefs play an important factor with regard to their selectivity. In addition to exploring the gaze of CCTV operators as it relates to suspicion, this work also provides an understanding of how surveillance information flows within and through the surveillance sites.
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Yin, Fei. "Robust wide-area multi-camera tracking of people and vehicles to improve CCTV usage." Thesis, Kingston University, 2011. http://eprints.kingston.ac.uk/20315/.

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This thesis describes work towards a more advanced multiple camera tracking system. This work was sponsored by BARCO who had developed a motion tracker (referred to as the BARCO tracker) and wanted to assess its performance, improve the tracker and explore applications especially for multi-camera systems. The overall requirement then gave rise to specific work in this project: Two trackers (the BARCO tracker and OpenCV 1.0 blobtracker) are tested using a set of datasets with a range of challenges, and their performances are quantitatively evaluated and compared. Then, the BARCO tracker has been further improved by adding three new modules: ghost elimination, shadow removal and improved Kalman filter. Afterwards, the improved tracker is used as part of a multi-camera tracking system. Also, automatic camera calibration methods are proposed to effectively calibrate a network of cameras with minimum manual support (draw lines features in the scene image) and a novel scene modelling method is proposed to overcome the limitations of previous methods. The main contributions of this work to knowledge are listed as follows: A rich set of track based metrics is proposed which allows the user to quantitatively identify specific strengths and weaknesses of an object tracking system, such as the performance of specific modules of the system or failures under specific conditions. Those metrics also allow the user to measure the improvements that have been applied to a tracking system and to compare performance of different tracking methods. For single camera tracking, new modules have been added to the BARCO tracker to improve the tracking performance and prevent specific tracking failures. A novel method is proposed by the author to identify and remove ghost objects. Another two methods are adopted from others to reduce the effect of shadow and improve the accuracy of tracking. For multiple camera tracking, a quick and efficient method is proposed for automatically calibrating multiple cameras into a single view map based on homography mapping. Then, vertical axis based approach is used to fuse detections from single camera views and Kalman filter is employed to track objects on the ground plane. Last but not least, a novel method is proposed to automatically learn a 3D non-coplanar scene model (e.g. multiple levels, stairs, and overpass) by exploiting the variation of pedestrian heights within the scene. Such method will extend the applicability of the existing multi-camera tracking algorithm to a larger variety of environments: both indoors and outdoors where objects (pedestrians and/or vehicles) are not constrained to move on a single flat ground plane.
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Pešl, Milan. "Výroba plynových ventilů na automatické lince." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229755.

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This thesis deals with the evaluation of manufacturing gas valves on the automatic line and the design of CCTV systems to detect errors at assembly in Honeywell Czech Republic Ltd. The aim of this thesis is mutual comparison of the respective proposed options of the camera system, their optimal selection, and the evaluation of detected errors of the line by using Pareto Charts. An integral part of this work is a brief description of the automatic line for gas valves and the history of Honeywell Company.
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Hennen, Ina. "Hot Spot 'Knarkrondellen'. An Evaluation of Police Interventions in Malmö." Thesis, Malmö högskola, Fakulteten för hälsa och samhälle (HS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-25001.

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‘Knarkrondellen’, which translates to ‘Drug Roundabout’, is a known hot spot for drug trading in Malmö and the police have implemented several measures to prevent the narcotic crimes. This paper sets out to investigate the impact that the police interventions, namely enhanced police foot patrols, improved street lighting and the installation of a surveillance camera, have on the crime rates and the fear of crime at the roundabout. In a multi-method approach, quantitative data from the police register and police surveys as well as qualitative observations and interviews with the residents are analyzed. The findings show that the police interventions did not reach the desired preventative effect in the given study period and indicate the occurrence of displacement. The citizens’ feeling of safety and perception of the problems did not change significantly as a result of the interventions. Overall, the surveys and interviews suggest that the police are on the right track; however, a longer follow-up period is needed in order to examine the long-term effects of the intervention measures. Additionally, an enhanced involvement of the community in the fight against drug crimes appears necessary.
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Jonsson, Viktor, and Patrick Westerberg. "Kamerabevakningens påverkan på den personliga integriteten." Thesis, Umeå universitet, Institutionen för informatik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-183215.

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With increased capabilities in technology we’ve seen a huge societal impact in how we live our lives and what can be done with our personal information. Even if the purpose of camera surveillance might be done with good intent, by surveilling a population the question of privacy comes to light. The study aims to understand how camera surveillance affects privacy. The study also looks forward into the future with the possibilities of facial recognition and how this technology would change camera surveillance and in turn privacy. Important to note is that this study does not aim to examine whether camera surveillance is an effective means of crime prevention or crime investigation, but rather the consequences it entails for people’s privacy and how the infringement on privacy is seen from an ethical and a judicial standpoint. This study’s focus is examining camera surveillance and privacy in Sweden. The results and conclusion of the study derives from 4 different themes that were identified during the method segment, these are, Ethics, Law, Camera Surveillance, and Facial Recognition. Firstly, the study argues that trust and transparency needed for camera surveillance to be accepted by the public and to make sure that the camera surveillance is ethical. Secondly, we argue there is an ongoing infringement on privacy and additional risks if the storing of personal information gathered by surveillance cameras exists. Thirdly, an imbalance between technological possibilities and legal possibilities can lead to either a threat- or protection for privacy. Furthermore, the study acknowledges the importance of government agencies to be able to uphold laws and regulations regarding camera surveillance and privacy. Finally, the study finds mixed views regarding camera surveillance mixed with additional technologies, such as facial recognition. To increase trust and to make sure the technology serves the people we argue that some sort of ethical governance is needed.
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Felix, Martin. "Monitorovací a zabezpečovací systém." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237157.

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This master's thesis deals with design and implementation of system for securing and monitoring objects. The whole system is serving as an application getaway between typical TCP/IP network and heterogeneous network containing different end devices such as security cameras, microphones and some sensors (e.g. for temperature measurement). In case of detected event, the notification is created, recorded and the user is informed via administrative front-end. System can be managed from remote location and data from devices can be shown by web interface. Theoretical part of this project concerns with the analysis of different types of connecting devices and sensors and the possibilities of their usage for the monitoring systems along with description of communications protocols for each end device. The next part deals with the cameras interfaces, content analysis and connectivity with central server. Practical part describes methods and techniques used for implementation of system.
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Perampalam, Meera. "Surveiller et Cadrer. Les caméras de surveillance dans le cinéma des années 1990 à nos jours." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCA047.

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L’état de surveillance dans lequel est plongée la société contemporaine contraint à ériger des dispositifs spécifiques de sécurité. Les méthodes de surveillance utilisées relèvent principalement de l’observation et de l’écoute. De ce fait, le septième art, jouant sur « l’audio – visuel », se serait réapproprié certains de ces dispositifs comme celui de la caméra de surveillance.Ce travail de recherche s’inscrit dans le courant des Visual Culture Studies, etcherche à faire l’archéologie puis l’analyse d’un regard particulier, tel que le cinéma de fiction l’actualise très souvent depuis plusieurs années, celui des caméras de surveillance. Ainsi, la prolifération de ces images de surveillance dans les filmsmontre l’impact de phénomènes sociaux dans la représentation tant des images desautorités, que celles produites par les citoyens A travers les concepts de la surveillance, en passant par ceux de la sousveillance, la caméra de surveillance aucinéma apporte des points de vues divers sur le monde qui nous entoure en puisantégalement dans des représentations hybrides via l’intermédialité proposée par les films
The contemporary society is immersed in a state of surveillance, which forces it to set up specific security devices. The surveillance techniques used are mainlybased on observation and listening. Thus, cinema, as an audio and visual art has adopted some of these devices, such as the surveillance camera.This research takes part in the Visual Culture Studies, and aims to offer anarcheological description followed by the analysis of a specific gaze, that of the surveillance cameras, which has often been actualized over the past several years through narrative cinema. Consequently, the increased presence of thesesurveillance images in the movies shows the impact of social phenomenons in the representation of images produced by the authorities and those produced by private citizens. With the notions of surveillance and sousveillance, the surveillance camerain cinema displays several points of view of the world that surrounds us, using also hybrid representations through the intermediality offered by films
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Moravec, Lukáš. "Management zabezpečovacího systému firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241613.

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This master thesis deals with the design of complex security system for company area with using PZTS and CCTV system. The thesis is divided into three separate parts, first part is focused on analysis the company and the current physical security state. Second part of thesis deals with theoretical bases. And the final part covers the concept of the PZTS and CCTV system solution. Here are all the chosen elements which will be used for realization
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Books on the topic "CCTV cameras"

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Dailey, Daniel J. The use of uncalibrated roadside CCTV cameras to estimate mean traffic speed. Seattle, WA: Transportation Northwest, Dept. of Civil Engineering, University of Washington, 2001.

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Dailey, Daniel J. The automated use of un-calibrated CCTV cameras as quantitative speed sensors, Phase 3. Olympia, WA: Washington State Dept. of Transportation, 2006.

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Squires, Peter. An independent evaluation of the installation of CCTV cameras for crime prevention in the Whitehawk Estate, Brighton. Brighton: University of Brighton, Health and Social Policy Research Centre, 2003.

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Short, Emma. Does closed circuit television prevent crime?: An evaluation of the use of CCTV surveillance cameras in Airdrie town centre. Edinburgh: Scottish Office Central Research Unit, 1996.

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Council, Lambeth London Borough. Code of practice for operation of cctv enforcement cameras in the London Borough of Lambeth: Version 3.1 November 2004. London: London Borough of Lambeth, 2004.

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Henault, A. A. Global Home Security Hand Guide: Learn CCTV Surveillance Cameras and More. Independently Published, 2018.

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Does Closed Circuit Television Prevent Crime?: an Evaluation of the Use of CCTV Surveillance Cameras in Airdrie Town Centre (Crime and Criminal Justice Research Findings: 8). The Stationery Office Books (Agencies), 1995.

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Garcia, Ernest V., James R. Galt, and Ji Chen. SPECT and PET Instrumentation. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0003.

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Nuclear cardiac imaging is solidly based on many branches of science and engineering, including nuclear, optical and mathematical physics, electrical and mechanical engineering, chemistry and biology. This chapter uses principles from these scientific fields to provide an understanding of both the signals used, and the imaging system that captures these signals. Nuclear cardiology’s signals are the x-rays or ?-rays photons emitted from a radioactive tracer and its imaging systems are either single-photon emission computed tomography (SPECT) or positron emission tomography (PET) cameras. This combination has met with remarkable success in clinical cardiology. This success is due to the combination of sophisticated electronic nuclear instruments with a highly specific and thus powerful signal. The signal is as important as or more important than the imaging system. There is a misconception that cardiac magnetic resonance (CMR) cardiac computed tomography (CCT) and echocardiography are superior to nuclear cardiology imaging because of their superior spatial resolution. Yet, in detecting perfusion defects what is really necessary is superior contrast resolution. It is this superior contrast resolution that allows us to differentiate between normal and hypoperfused myocardium facilitating the visual analysis of nuclear cardiology perfusion images. Because these objects are bright compared to the background radioactivity, computer algorithms have been developed that allow us to automatically and objectively process and quantify our images. This chapter explains many of the important scientific principles necessary to understand nuclear cardiology imaging in general, i.e., how these sophisticated imaging systems detect the radiation emitted from the radiotracers.
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Book chapters on the topic "CCTV cameras"

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Turtiainen, Hannu, Andrei Costin, and Timo Hämäläinen. "CCTV-Exposure: System for Measuring User’s Privacy Exposure to CCTV Cameras." In Lecture Notes in Business Information Processing, 289–98. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11510-3_20.

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Desai, Suki. "Implementing CCTV cameras inside mental health wards." In Surveillance Practices and Mental Health, 40–66. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003179306-3.

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Lach, Adam, and Michał Grega. "Application of Local Features for Calibration of a Pair of CCTV Cameras." In Communications in Computer and Information Science, 73–85. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69911-0_6.

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Kim, Pyeong Kang, Hyung Heon Kim, Tae Woo Kim, and Yu Na Lee. "The Intelligent System Design for Eliminating Blind Spots of PTZ Controlled CCTV with Raspberry Pi and Multiple Pi Cameras." In Advances in Intelligent Systems and Computing, 107–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01057-7_9.

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Marshall, Daniel, and Terry Thomas. "Photographs, CCTVs and Other Cameras." In Privacy and Criminal Justice, 127–51. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64912-2_6.

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Agarwal, Parakh, Sanaj Singh Kahlon, Nikhil Bisht, Pritam Dash, Sanjay Ahuja, and Ayush Goyal. "Abandoned Object Detection and Tracking Using CCTV Camera." In Information and Communication Technology for Sustainable Development, 483–92. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3920-1_49.

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Picus, Cristina, Roman Pflugfelder, and Branislav Micusik. "Auto-calibration of Non-overlapping Multi-camera CCTV Systems." In Studies in Computational Intelligence, 43–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28598-1_2.

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Chung, W. K., B. Yi, E. K. Choi, J. H. Kim, S. D. Ahn, C. K. Min, D. I. Shin, and H. Chang. "Whole Body Frame for the Target Localization with CCTV Camera System and Fluoroscopy." In The Use of Computers in Radiation Therapy, 582–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59758-9_218.

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Kim, Hyungheon, Taewoo Kim, and Youngkyun Cha. "Methodology of Displaying Surveillance Area of CCTV Camera on the Map for Immediate Response in Border Defense Military System." In Advances in Intelligent Systems and Computing, 631–37. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55190-2_47.

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Damjanovski, Vlado. "CCTV Cameras." In CCTV, 152–211. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-12-404557-6.50005-7.

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Conference papers on the topic "CCTV cameras"

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Nunes, Marcelo D., and Ildemar P. Nunes. "Using CCTV to Support Remote Operation." In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10568.

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In 2005, TBG deployed a CCTV system at its compressor stations to support the pipeline operators in their daily duties, specifically compressor’s start and stop when the station is unmanned. Fixed cameras are installed inside the compressors building and a pan/tilt/zoom dome camera is installed at a high location that allows an overall view of the facility and its surroundings. The system also improves operational safety by enabling faster fire detection. The cameras connect to a digital video recorder that stores all motion detection events in a hard disk. Live video and recordings are available to any authorized user in TBG’s corporate network.
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Yimyam, Worawut, Thidarat Pinthong, Narumol Chumuang, and Mahasak Ketcham. "Face Detection Criminals through CCTV Cameras." In 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 2018. http://dx.doi.org/10.1109/sitis.2018.00061.

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Alam, Fahad, and Ammar Alraeesi. "Computer Vision Based Smart CCTV Solution." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211842-ms.

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Abstract With the assessment of the latest technology safeguarding humanity for their safety and security round the clock is an immense challenge. Deep learning algorithms are being developed to provide greater performance, accurate classification, and the extraction of useful information. Numerous deep learning architecture techniques have been put forth in recent years. Massive security camera deployments have been made, together with additional sensors, to monitor important infrastructure, including Oil & Gas industries, military bases, airports, power plants, banks, etc. As human resources are expensive and have a finite skill set, manual monitoring by human operators is an ineffective solution in modern world. The goal of AI technology used in CCTV system is to automatically monitor infrastructure or the environment with little to no human involvement. These monitoring activities involve automatically locating and tracking objects (such as people or vehicles), followed by additional analysis and action. Techniques for artificial intelligence (machine learning), signal processing, and image processing are key components in the development of such intelligent systems. The most popular modality (device) for a surveillance system is a visible camera like a CCTV. It has been used for a very long time to keep an eye on people and events. To automatically evaluate data (image or video) from surveillance cameras, extensive research has been done. Numerous specialized review papers on background-foreground segmentation, objects detection and classification, tracking, and behavioral analysis have covered a large portion of these investigations. Other than visible cameras, many sensor modalities have been investigated for surveillance systems, including thermal and infrared cameras, radar, and audio sensor. This paper will present the case study of a comprehensive overview of computer vision base CCTV surveillance system and to review the current approaches to each of its processing steps.
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Gupta, Pratishtha, Manisha Rathore, and G. N. Purohit. "Detection of direction deviation of vehicle using CCTV cameras." In 2014 Recent Advances and Innovations in Engineering (ICRAIE). IEEE, 2014. http://dx.doi.org/10.1109/icraie.2014.6909172.

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Oxenberg, Sheldon C., B. Patrick Landell, and Edwin Kan. "Geometric Database Maintenance Using CCTV Cameras And Overlay Graphics." In 1988 Robotics Conferences, edited by Wun C. Chiou, Sr. SPIE, 1988. http://dx.doi.org/10.1117/12.949065.

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Sharp, Richard E. "Gamma radiation effects on CCTV cameras — An update." In 2009 European Conference on Radiation and Its Effects on Components and Systems (RADECS). IEEE, 2009. http://dx.doi.org/10.1109/radecs.2009.5994688.

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Saxena, Kshitij. "Intelligent Transit Thru Imaging: Using CCTV Cameras for Evaluating Real Time Demand." In 2022 Joint Rail Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/jrc2022-78323.

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Abstract Ubiquitous CCTV cameras are a commonplace in cities with their presence on street intersections, bus stops, train stations and ferry terminals, etc. This paper presents an idea to use Artificial Intelligence in devising heat maps whereby traffic density is mapped from CCTV camera image grab of a location. When fed into the Traffic Management System (TMS), relevant alerts can be issued to the Traffic Controllers, consequently, deploying a bus or a metro train to meet that extra rush of passengers. Intelligent models can be developed that create novel routes during specific events in the city. New demand and response models can be created within TMS thru use of data science. Routes can be temporarily modified, with crowded stops added and uncrowded ones removed. Passengers are given adequate notice thru live alerts. Ethical issues related to data privacy are handled by specialized software. Such an intelligent system can help control crime. By active monitoring, the response time in attending accidents can be lessened. Necessary warnings are issued to bus operators concerning elderly and people with special needs, enabling better onboarding experience.
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Dadgostar, Farhad, Abbas Bigdeli, and Terence Smith. "Demo: An automated face enrolment and recognition system across multiple cameras on CCTV networks." In 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). IEEE, 2011. http://dx.doi.org/10.1109/icdsc.2011.6042955.

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Borwarnginn, Punyanuch, Jason H. Haga, and Worapan Kusakunniran. "Water Level Detection from CCTV Cameras using a Deep Learning Approach." In TENCON 2020 - 2020 IEEE REGION 10 CONFERENCE (TENCON). IEEE, 2020. http://dx.doi.org/10.1109/tencon50793.2020.9293865.

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Cruz, Meygen, Jefferson James Keh, Ramiel Deticio, Carl Vincent Tan, John Anthony Jose, and Elmer Dadios. "A People Counting System for Use in CCTV Cameras in Retail." In 2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM). IEEE, 2020. http://dx.doi.org/10.1109/hnicem51456.2020.9400048.

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Reports on the topic "CCTV cameras"

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Chien, Stanley, Yaobin Chen, Lauren Christopher, Mei Qiu, and Zhengming Ding. Road Condition Detection and Classification from Existing CCTV Feed. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317364.

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The Indiana Department of Transportation (INDOT) has approximately 500 digital cameras along highways in populated areas of Indiana. These cameras are used to monitor traffic conditions around the clock, all year round. Currently, the videos from these cameras are observed one-by-one by human operators looking for traffic conditions and incidents. The main objective of this research was to develop an automatic, real-time system to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the Traffic Management Center of INDOT developed a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and classification of vehicles involved in an incident. The research team designed the system, including the hardware and software components added to the existing INDOT CCTV system; the relationship between the added system and the currently existing INDOT system; the database structure for traffic data extracted from the videos; and a user-friendly, web-based server for showing the incident locations automatically. The specific work in this project includes vehicle-detection, road boundary detection, lane detection, vehicle count over time, flow-rate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The preliminary prototype of some system components has been implemented in the Development of Automated Incident Detection System Using Existing ATMS CCT (SPR-4305).
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Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.

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The Indiana Department of Transportation (INDOT) uses about 600 digital cameras along populated Indiana highways in order to monitor highway traffic conditions. The videos from these cameras are currently observed by human operators looking for traffic conditions and incidents. However, it is time-consuming for the operators to scan through all video data from all the cameras in real-time. The main objective of this research was to develop an automatic and real-time system and implement the system at INDOT to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the INDOT Traffic Management Center have worked together to research and develop a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and the classification of vehicles involved in an incident. The goal was to develop a system and prepare for future implementation. The research team designed the new system, in­cluding the hardware and software components, the currently existing INDOT CCTV system, the database structure for traffic data extracted from the videos, and a user-friendly web-based server for identifying individual lanes on the highway and showing vehicle flowrates of each lane automatically. The preliminary prototype of some system components was implemented in the 2018–2019 JTRP projects, which provided the feasibility and structure of the automatic traffic status extraction from the video feeds. The 2019–2021 JTRP project focused on developing and improving many features’ functionality and computation speed to make the program run in real-time. The specific work in this 2021–2022 JTRP project is to improve the system further and implement it on INDOT’s premises. The system has the following features: vehicle-detection, road boundary detection, lane detection, vehicle count and flowrate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The research team has installed the system on one computer in INDOT for daily road traffic monitoring operations.
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