Relevant bibliographies by topics / Closed-circuit television camera

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

Academic literature on the topic 'Closed-circuit television camera'

Author: Grafiati
Published: 5 June 2025
Last updated: 25 June 2025

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Journal articles on the topic "Closed-circuit television camera"

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Nte, Ngboawaji Daniel, Graham Gande, and Michael Uzorka. "The Challenges and Prospects of ICTs in Crime Prevention and Management in Nigeria: A Review of CCTV Cameras in Abuja." IJCLS (Indonesian Journal of Criminal Law Studies) 5, no. 1 (2020): 75–100. http://dx.doi.org/10.15294/ijcls.v5i1.26393.

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Contemporary Nigeria has witnessed monumental rise in crime wave and in the quest to stem the tide, government has adopted various security policies to secure the lives and property of its citizens in the past, but none of these policies have actually yielded positive results. Human abduction, armed robbery, terrorism, bomb attacks and lots more have been the order of the day in the Country. The study seeks to ascertain the impact of closed circuit television (CCTV) cameras in Abuja metropolis. Six research questions and two hypotheses were formulated to guide the study, related literatures were adequately reviewed. A population of size of 900 was selected out of which a sample size of 300 respondents, which cut across all walks of life, participated in the study. Structured questionnaire was designed and used as instrument for data collection. Data collected were analyzed using direct interpretation of results gotten from respondents. Findings of the research revealed significant relationship between closed circuit television cameras and theory of deterrence, criminal justice, fear of crime, legality, policy formation and regulation of closed circuit television (CCTV). The development of software that can be integrated with the CCTV to display a person’s bio-data on the monitor when captured by the CCTV camera is among other recommendations for further research study.
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Saka-Olokungboye, Nurudeen, Joseph Olanrenwaju Ilugbami, and Ebunoluwa Hope Ehinola. "SECURITY OF LIVES AND PROPERTY: AN APPRAISAL OF ONDO STATE GOVERNMENT DIRECTIVE ON INSTALLATION OF CLOSED-CIRCULT TELEVISON CAMERA." International Journal of Social Science and Humanities Research 11, no. 3 (2023): 233–42. https://doi.org/10.5281/zenodo.8379753.

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<strong>Abstract:</strong> Insecurity has become a growing concern worldwide. It has become one of the major challenges facing Nigeria. It is a problem that has significantly threatened and undermined the peaceful existence of the country. Governments and organizations globally have been exploring various measures to address this challenge. This paper, therefore appraised Ondo State Government directive on installation of closed-circuit television camera (CCTV). The study used both quantitative and qualitative techniques of research methods to analyse and interpret data collected. Two hundred and six respondents were selected from residents of Owo Local Government Area. Findings of the study revealed low level of awareness on the directive and poor compliance level. This was attributed to the fact that the directive was an executive order rather than a Law. The study therefore recommended passing the directive into a law so as to empower security agents to enforce it legally. Also, the state government should collaborate with civil organizations and non-governmental organizations to create public awareness for the directive. Finally, youth empowerment and employment should be addressed so as to reduce vulnerability of young people to criminal activities. <strong>Keywords:</strong> Closed-circuit television camera, Directive, Insecurity, Lives and Property. <strong>Title:</strong> SECURITY OF LIVES AND PROPERTY: AN APPRAISAL OF ONDO STATE GOVERNMENT DIRECTIVE ON INSTALLATION OF CLOSED-CIRCULT TELEVISON CAMERA <strong>Author:</strong> Saka-Olokungboye Nurudeen, Ilugbami Joseph Olanrenwaju, Ehinola Ebunoluwa Hope <strong>International Journal of Social Science and Humanities Research&nbsp; </strong> <strong>ISSN 2348-3156 (Print), ISSN 2348-3164 (online)</strong> <strong>Vol. 11, Issue 3, July 2023 - September 2023</strong> <strong>Page No: 233-242</strong> <strong>Research Publish Journals</strong> <strong>Website: www.researchpublish.com</strong> <strong>Published Date: 26-September-2023</strong> <strong>DOI: https://doi.org/10.5281/zenodo.8379753</strong> <strong>Paper Download Link (Source)</strong> <strong>https://www.researchpublish.com/papers/security-of-lives-and-property-an-appraisal-of-ondo-state-government-directive-on-installation-of-closed-circult-televison-camera</strong>
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Soori, Umair, Peter Yuen, Ji Wen Han, et al. "Target recognitions in multiple-camera closed-circuit television using color constancy." Optical Engineering 52, no. 4 (2013): 047202. http://dx.doi.org/10.1117/1.oe.52.4.047202.

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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 (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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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 (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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Navathe, C. P., B. S. Narayan, S. M. Oak, and B. L. Gupta. "Circuit for studying the spatial profile of a laser beam using a closed‐circuit television camera." Review of Scientific Instruments 59, no. 11 (1988): 2494–96. http://dx.doi.org/10.1063/1.1139936.

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Bagye, Wire, Khairul Imtihan, and Maulana Ashari. "COMPARISON OF VARIOUS TYPES OF PIR MOTION SENSORS FOR NODEMCU ESP32 CAM IMAGE CAPTURING DEVICES." Jurnal Informatika dan Rekayasa Elektronik 7, no. 2 (2024): 471–77. https://doi.org/10.36595/jire.v7i2.1344.

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Abstract:Videos and images can be used as observations or evidence of a crime. The most widely used device for recording video in an office or home is CCTV (Closed Circuit Television). The cost of installing the cheapest CCTV in Indonesia is 1,300,000 thousand Rupiah.The development of the microcontroller has been equipped with a camera module. Lilygo TTGO, NodeMCU ESP 32 CAM, Raspberry Pi, are the choices of microcontrollers with camera extensions. Using the ESP32 CAM Node MCU to record images is a cheaper option compared to using CCTV (Closed Circuit Television). The input data for the ESP32 CAM NodeMCU to detect human movement is the PIR Motion sensor module.In searches on various marketplaces, there are around 20 types of PIR Motion. Each type has a different range and delay time specifications. In this study, 6 PIR Motion sensors available on the Indonesian marketplace were tested with the types HC-SR505, HC-SR501, SR602, AM312, D203s, PIR 507. The test was carried out by assembling six PIR Motions on one PCB (Printed Circuit Board) to get data at the same time. The testing tool uses Arduino Uno by utilizing the Serial Monitor service on the Arduino IDE application. The results of the PIR sensor range test show that the HC-SR501 type has the farthest range while the HC-SR505 successfully captures images.
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Indrawan Nugrahanto, Sungkono, and Elka Faizal. "BIMBINGAN TEKNIS PEMASANGAN PERANGKAT SPC CAMERA MODEL KST2 UNTUK KEAMANAN WARGA PERUMAHAN CITRA CANDI MENDUT MALANG." Jurnal Pengabdian Kepada Masyarakat 9, no. 1 (2022): 102–7. http://dx.doi.org/10.33795/jabdimas.v9i1.185.

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At this time the demand for security cameras is increasing in line with the increasing number of criminal acts, this technology seems to be required to be installed in various public places and facilities that require more supervision in order to create security and safety. IP Camera (type KST2 SPC) is the latest solution in the field of security. This monitoring device has a monitor range that is not limited to the room, but the IP camera can also be accessed by a personal computer or laptop that is connected directly via LAN, Internet, or cellular network. IP Camera is a long-term solution that is very useful, very flexible, and can work for the next 10 years. IP Camera has other features such as camera selection and navigation features that affect video size and access speed. IP Camera is a CCTV (Closed Circuit Television) camera that uses Internet Protocol to transmit image data and control signals. Thus, IP cameras have several advantages over analog CCTV. In its use, this tool is also quite easy to integrate with various electronic-based early warning systems. Data from camera readings can be stored on a microSD which can store recording activity data for a full month.
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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 (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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Oh, Jutaek, Joonyoung Min, and Eunsoo Choi. "Development of a vehicle image-tracking system based on a long-distance detection algorithm." Canadian Journal of Civil Engineering 37, no. 11 (2010): 1395–405. http://dx.doi.org/10.1139/l10-064.

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If image-processing systems are developed to track individual vehicles, and thus, trace vehicle trajectories, many existing transportation models will benefit from more detailed information on individual vehicles. Furthermore, the additional information that can be obtained from the vehicle trajectories will improve incident detection by identifying lane change maneuvers and acceleration / deceleration patterns. Unlike human vision, however, image-processing cameras have difficulty in recognizing vehicle movements within a long detection zone because the camera operators need to zoom in to recognize objects. As a result, vehicle tracking with a single camera relies on short-distance detection. This paper describes the methodology developed for monitoring individual vehicle trajectories based on image processing. To improve traffic flow surveillance, a long-distance tracking algorithm was developed with multiple closed-circuit television cameras. The algorithm can recognize individual vehicle maneuvers, and thereby increases the effectiveness of the incident detection process.
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Dissertations / Theses on the topic "Closed-circuit television camera"

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Allard, Troy. "Closed Circuit Television in Prison." Thesis, Griffith University, 2005. http://hdl.handle.net/10072/366645.

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The research presented in this thesis aimed to apply the approach provided by situational crime prevention (SCP) to the prison environment to explore the usefulness of closed circuit television (CCTV) surveillance. SCP has rarely been applied to the prison environment and few studies have explored the effectiveness of CCTV in prison. Four overarching research questions were addressed: (1) What is the nature of CCTV surveillance in prison?, (2) 'What purposes are associated with CCTV surveillance in prison?, (3) How effective is CCTV surveillance at achieving its intended purposes?, and (4) 'What drawbacks are associated with CCTV in prison environments? Aspects of each of these overarching research questions were addressed through three studies conducted at four prisons. The first study explored the nature of CCTV surveillance in prison by examining the CCTV system and operational options that had been adopted in prison and managers attitudes regarding the purposes, effectiveness, and drawbacks of CCTV. This study was based on content analyses of legislation and procedure, information about the CCTV systems in prison, physical audits of prisons (r-4), and interviews (n6) that were conducted with managers. Findings based on content analyses of legislation and procedure indicated that CCTV was used to monitor visits, detention units, and observation units. Additional hardware that had been integrated with CCTV systems suggested that access control, fence security, and improving the safety of personnel wearing personal distress monitors were purposes of camera surveillance. Managers indicated that CCTV served a wider range of purposes (prevention, detection, improving safety, gathering evidence, and access control) but raised some doubt regarding the effectiveness of CCTV due to the way it was used. Given the doubt raised by managers regarding the efficacy of CCIV surveillance in prison, the second study explored officer and prisoner attitudes regarding the purposes, effectiveness, and drawbacks of CCTV surveillance in prison. This study was based on surveys that were conducted with officers (11=136) and prisoners (ii=193) from four prisons. The purposes and effectiveness of CCTV surveillance were examined on the basis of whether camera surveillance was believed to be targeted at officers, prisoners, or visitors. Findings indicated that officers and prisoners attached a wide range of purposes to CCTV surveillance but believed CCTV was ineffective at achieving many of these purposes for particular users of the environment. The negative or controlling aspects of CCTV surveillance were viewed as being targeted at prisoners or visitors while the beneficial effect of CCTV at improving safety was viewed as being targeted at officers. Safety and the effect that CCTV had on safety were examined using the approach provided by SCP. Findings indicated that camera surveillance had a positive impact on safety. Drawbacks that were attached by officers tended to focus on system deficiencies while prisoners emphasised the impact that camera surveillance had on privacy. The third study used archival operational data to deternthe how effective CCTV surveillance was at preventing prisoner misbehaviour at four prisons and to explore whether camera surveillance was more effective at preventing or displacing instrumental than hostile prisoner-on-prisoner assaults. Findings suggested that camera surveillance was associated with lower levels of misbehaviour. Weapon status (no/yes) and the number of perpetrators (one/more than one) were used as proxies to determine whether assaults were hostile or instrumental. A greater proportion of instrumental assaults were found to occur in locations that were not under camera surveillance, suggesting that they had either been prevented or displaced by camera surveillance. Overall, the findings suggest that the benefits of CCTV in ptison were not fully realised due to the way camera surveillance was used. Factors impacting on the effectiveness of CCIV included that a passive monitoring strategy was used, the lack of or inability to constantly monitor or record the camera system, and the existence of blind-spots. Findings also suggested that CCIV may be more useful at preventing instrumental rather than hostile assaults. Despite these findings, evidence suggested that CCTV had a positive effect on safety and prisoner misbehaviour. The implications of these findings are discussed.<br>Thesis (PhD Doctorate)<br>Doctor of Philosophy (PhD)<br>School of Criminology and Criminal Justice<br>Full Text
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Boghossian, Boghos Alex. "Motion based image processing algorithms applied to crowd monitoring systems." Thesis, King's College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249425.

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Pumrin, Suree. "A framework for dynamically measuring mean vehicle speed using un-calibrated cameras /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6090.

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Books on the topic "Closed-circuit television camera"

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Unit, Local Government Information, ed. Candid cameras: A report on closed circuit television. Local Government Information Unit, 1994.

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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. Scottish Office Central Research Unit, 1996.

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Dailey, Daniel J. The use of uncalibrated roadside CCTV cameras to estimate mean traffic speed. 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. Washington State Dept. of Transportation, 2006.

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United States. Department of Homeland Security. Office of Inspector General. Costs invoiced for checked baggage inspection systems and closed-circuit television cameras at Orlando International Airport. Department of Homeland Security, Office of Inspector General, 2012.

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United States. Department of Homeland Security. Office of Inspector General. Costs invoiced by the Omaha airport authority for closed-circuit television cameras at Omaha Eppley Airfield Airport. Department of Homeland Security, Office of Inspector General, 2012.

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Doyle, Aaron, David Lyon, and Randy Lippert. Eyes Everywhere: The Global Growth of Camera Surveillance. Taylor & Francis Group, 2013.

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Reasonable Expectations of Privacy?: Eleven country reports on camera surveillance and workplace privacy (Information Technology and Law). Asser Press, 2005.

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Doyle, Aaron, David Lyon, and Randy Lippert. Eyes Everywhere: The Global Growth of Camera Surveillance. Taylor & Francis Group, 2013.

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Doyle, Aaron, David Lyon, and Randy Lippert. Eyes Everywhere: The Global Growth of Camera Surveillance. Taylor & Francis Group, 2013.

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Book chapters on the topic "Closed-circuit television camera"

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Li, Mingkai, Peter Kok-Yiu Wong, Cong Huang, and Jack C. P. Cheng. "Indoor Trajectory Reconstruction Using Building Information Modeling and Graph Neural Networks." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.89.

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Trajectory reconstruction of pedestrian is of paramount importance to understand crowd dynamics and human movement pattern, which will provide insights to improve building design, facility management and route planning. Camera-based tracking methods have been widely explored with the rapid development of deep learning techniques. When moving to indoor environment, many challenges occur, including occlusions, complex environments and limited camera placement and coverage. Therefore, we propose a novel indoor trajectory reconstruction method using building information modeling (BIM) and graph neural network (GNN). A spatial graph representation is proposed for indoor environment to capture the spatial relationships of indoor areas and monitoring points. Closed circuit television (CCTV) system is integrated with BIM model through camera registration. Pedestrian simulation is conducted based on the BIM model to simulate the pedestrian movement in the considered indoor environment. The simulation results are embedded into the spatial graph for training of GNN. The indoor trajectory reconstruction is implemented as GNN conducts edge classification on the spatial graph
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Li, Mingkai, Peter Kok-Yiu Wong, Cong Huang, and Jack C. P. Cheng. "Indoor Trajectory Reconstruction Using Building Information Modeling and Graph Neural Networks." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.89.

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Trajectory reconstruction of pedestrian is of paramount importance to understand crowd dynamics and human movement pattern, which will provide insights to improve building design, facility management and route planning. Camera-based tracking methods have been widely explored with the rapid development of deep learning techniques. When moving to indoor environment, many challenges occur, including occlusions, complex environments and limited camera placement and coverage. Therefore, we propose a novel indoor trajectory reconstruction method using building information modeling (BIM) and graph neural network (GNN). A spatial graph representation is proposed for indoor environment to capture the spatial relationships of indoor areas and monitoring points. Closed circuit television (CCTV) system is integrated with BIM model through camera registration. Pedestrian simulation is conducted based on the BIM model to simulate the pedestrian movement in the considered indoor environment. The simulation results are embedded into the spatial graph for training of GNN. The indoor trajectory reconstruction is implemented as GNN conducts edge classification on the spatial graph
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Tiwari, Rajesh, Sheo Kumar, P. Ravi Kiran, N. Prameela, Jonnadula Narasimharao, and M. Ravindran. "An Analytical Assessment of an Automated Attendance System Using the Lbph and Haar Cascade Algorithms in Conjunction with a Closed-Circuit Television Camera." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78949-6_50.

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Quoc Tran, Dai, Yuntae Jeon, Seongwoo Son, Minsoo Park, and Seunghee Park. "Identifying Hazards in Construction Sites Using Deep Learning-Based Multimodal with CCTV Data." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.61.

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The use of closed-circuit television (CCTV) for safety monitoring is crucial for reducing accidents in construction sites. However, the majority of currently proposed approaches utilize single detection models without considering the context of CCTV video inputs. In this study, a multimodal detection, and depth map estimation algorithm utilizing deep learning is proposed. In addition, the point cloud of the test site is acquired using a terrestrial laser scanning scanner, and the detected object's coordinates are projected into global coordinates using a homography matrix. Consequently, the effectiveness of the proposed monitoring system is enhanced by the visualization of the entire monitored scene. In addition, to validate our proposed method, a synthetic dataset of construction site accidents is simulated with Twinmotion. These scenarios are then evaluated with the proposed method to determine its precision and speed of inference. Lastly, the actual construction site, equipped with multiple CCTV cameras, is utilized for system deployment and visualization. As a result, the proposed method demonstrated its robustness in detecting potential hazards on a construction site, as well as its real-time detection speed
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Quoc Tran, Dai, Yuntae Jeon, Seongwoo Son, Minsoo Park, and Seunghee Park. "Identifying Hazards in Construction Sites Using Deep Learning-Based Multimodal with CCTV Data." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.61.

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The use of closed-circuit television (CCTV) for safety monitoring is crucial for reducing accidents in construction sites. However, the majority of currently proposed approaches utilize single detection models without considering the context of CCTV video inputs. In this study, a multimodal detection, and depth map estimation algorithm utilizing deep learning is proposed. In addition, the point cloud of the test site is acquired using a terrestrial laser scanning scanner, and the detected object's coordinates are projected into global coordinates using a homography matrix. Consequently, the effectiveness of the proposed monitoring system is enhanced by the visualization of the entire monitored scene. In addition, to validate our proposed method, a synthetic dataset of construction site accidents is simulated with Twinmotion. These scenarios are then evaluated with the proposed method to determine its precision and speed of inference. Lastly, the actual construction site, equipped with multiple CCTV cameras, is utilized for system deployment and visualization. As a result, the proposed method demonstrated its robustness in detecting potential hazards on a construction site, as well as its real-time detection speed
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Cieszynski, Joe. "The CCTV camera." In Closed Circuit Television. Elsevier, 2004. http://dx.doi.org/10.1016/b978-0-08-054573-8.50010-5.

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Cieszynski, Joe. "Camera switching and multiplexing." In Closed Circuit Television. Elsevier, 2004. http://dx.doi.org/10.1016/b978-0-08-054573-8.50013-0.

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"CCTV (closed-circuit television) camera." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_31069.

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McGrail, Brian A. "Confronting Electronic Surveillance: Desiring and Resisting New Technologies." In Virtual Society? Oxford University PressOxford, 2002. http://dx.doi.org/10.1093/oso/9780199248759.003.0007.

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Abstract The population of the United Kingdom came under the constant gaze of the camera in the 1990s. Whilst other countries were not slow to adopt closed circuit television (CCTV) surveillance techniques, successive UK governments encouraged the establishment of systems to such an extent that the UK, it has been claimed, has double the number of cameras in public places compared to other EU nations (Narayan 1996; see also Graham 1998). As a presumed tech nique for solving numerous social problems, the camera effectively ruled UK governmentality. Narayan’s claim (1996) may well pinpoint a difference between a UK approach to street crime, problem neighbourhoods, and CCTV, and the approach taken on continental Europe. I would not wish to overemphasize this difference, as CCTV is now as important a factor of ‘virtual Paris’ as it is of London.
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Kravets, Zol. "Various Concepts on Closed- Circuit Television (CCTV) and Camera Layout for a Power Plant Security System." In Advances in Security Technology. Elsevier, 1987. http://dx.doi.org/10.1016/b978-0-409-90052-1.50020-4.

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Conference papers on the topic "Closed-circuit television camera"

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Kurniawan, A., A. Ramadlan, and E. M. Yuniarno. "Speed Monitoring for Multiple Vehicle Using Closed Circuit Television (CCTV) Camera." In 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM). IEEE, 2018. http://dx.doi.org/10.1109/cenim.2018.8710854.

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Saputra, Dhanar Intan Surya, and Kamal Miftahul Amin. "Face detection and tracking using live video acquisition in camera closed circuit television and webcam." In 2016 1st International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE). IEEE, 2016. http://dx.doi.org/10.1109/icitisee.2016.7803065.

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Perkins, Richard, Amirhamed Bakhtiarydavijani, and Raj K. Prabhu. "Presentation of an Injury Reconstruction Methodology to Assess Impact Severity and Injury Risks in Soccer." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-137291.

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Abstract In this paper, we propose a methodology for evaluating the risk of injury using closed-circuit television (CCTV) and on-sight and landmarks. A significant number of incidents and injuries are caught on CCTV footage. While computational reconstruction of an incident typically requires the use of multiple cameras and markers, we show that landmarks can be used to reconstruct an incident for forensic purposes. Soccer is a sport played worldwide by athletes of all ages. Despite the reduced contact in soccer when compared to sports such as football, concussive injuries remain a concern throughout the sport. A greater concern exists for the injuries caused by sub-concussive impacts. Injuries caused by soccer ball impacts are not currently well understood, and as such an improved understanding of these injuries is warranted. Our study shows that single camera surveillance footage can be coupled with computational models to produce values describing the severity and risk of brain injuries. Results of this study are presented through multiple existing kinematic metric and peak stresses and strains throughout the brain parenchyma. These values can be used in combination with future studies to develop injury risk curves representative of impacts causing head trauma in soccer to improve the current understanding of (mild traumatic brain injury) mTBIs.
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Rai, Rajat, Ayushi Shukla, Dr Shivi Chaturvedi, and Dr Abhishek Kumar. "BRIDGING TRADITION & TECHNOLOGY: A REVIEW OF THE PRAN-PRATISTHA CEREMONY AT AYODHYA." In Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.13.

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The significance of maintaining a delicate balance between cultural reverence and technological progress in the context of the Pran Pratistha ceremony at Ayodhya's Ram Mandir lies in preserving the authenticity and sanctity of the event while embracing advancements that enhance the overall experience. This delicate balance ensures that technological interventions do not compromise the cultural significance of the ceremony but rather complement and elevate the spiritual experience for all participants. The impact of this balance on the integration of Artificial Intelligence (AI) into the ceremony is profound. It involves a progressive leap forward, marking a transformative shift in security measures. The integration of AI into the Pran Pratistha ceremony's security framework, particularly within CCTV camera surveillance and the utilization of government records for intruder detection, represents a harmonious coexistence of tradition and innovation. The aim is to ensure that the integration of AI enhances security without overshadowing the spiritual and cultural essence of the ceremony. This delicate equilibrium is crucial for harmonizing technological progress with cultural authenticity, signifying not only a technological evolution but also a cultural metamorphosis. The integration of AI into the ceremony is undertaken with a keen awareness of the need to preserve the sanctity of time-honored practices while leveraging cutting-edge innovation to elevate the overall security framework. Ultimately, the impact of maintaining a delicate balance between cultural reverence and technological progress ensures that the integration of AI into the Pran Pratistha ceremony respects and enriches the cultural legacy of Ayodhya's Ram Mandir. This research paper offers a comprehensive exploration of the contemporary application of Artificial Intelligence (AI) in Closed-Circuit Television (CCTV) camera surveillance during the Pran Pratistha ceremony at Ayodhya's sacred Ram Mandir. Focusing on the utilization of government records for intruder detection, the paper dissects the intricacies of the existing system. Furthermore, it envisions the potential future integrations of AI and the Internet of Things (IoT) for bolstering security measures in these sacred events. The study not only provides insights into current practices but also emphasizes the ethical considerations and opportunities that lie ahead.This paper explores how smart cameras with Artificial Intelligence (AI) are keeping the Pran Pratistha ceremony at Ayodhya's Ram Mandir safe. We'll look at how these cameras, using information from government records, can spot potential intruders. Additionally, we'll imagine how AI and smart devices (Internet of Things or IoT) could team up in the future to make security even better. This research aims to show the current safety methods and suggest ways to improve them while keeping things ethical and respectful
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Carincotte, C., X. Naturel, M. Hick, et al. "Understanding metro station usage using Closed Circuit TeleVision cameras analysis." In 2008 11th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, 2008. http://dx.doi.org/10.1109/itsc.2008.4732571.

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Hau Wah LAI, Terry. "Calibration of the Frame Rate of High Speed Digital Video Recorders by Stationary Counting Method: Application of the Stroboscopic Effect." In NCSL International Workshop & Symposium. NCSL International, 2017. http://dx.doi.org/10.51843/wsproceedings.2017.46.

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By applying the characteristic of stroboscopic effect, a new method named Stationary Counting Method for the calibration of the frame rate of digital video recorder has been developed at the Hong Kong Standards and Calibration Laboratory(SCL). The proposed method can determine the frame rate of digital video recorders with the use of a special synchronous counter designed by the SCL. The frequency signal input to the counter is traceable to the Cesium Beam Frequency Standard kept in SCL, as well as traceable to the SI unit. The target devices include high speed digital cameras, smartphones, closed circuit televisions (CCTV) and car cameras. It is common for vehicles to install car cameras to capture the moment when unexpected incidents occur. The recorded videos can be used as court evidences for accident investigation. Therefore, the accuracy of the frame rate is extremely important. The proposed method can be used to find the time duration of the video recorded by a digital camera, as well as the occurrence of skipped or extra frames of the captured video.
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Vinod, Karthik, K. Lakshmi, Greeshma Girish, Aswathi Krishnan, and G. Shekar. "Implementation of Intermediate Image Processing for Video from Closed Circuit Television Cameras." In 2020 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2020. http://dx.doi.org/10.1109/iccsp48568.2020.9182107.

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Gupta, Kratika, Purba Chatterjee, Xianzhong John Chen, and Jitendra Kadam. "Real Time Application of Deep Learning Based Flare Smoke Detection." In SPE Annual Technical Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/220857-ms.

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Abstract This work focuses on developing a smoke detection model that can be employed in an automated, end-to-end flare smoke detection, alerting and distributed control solution that leverages existing flare Closed Circuit Television (CCTV) cameras used at manufacturing facilities. At the core of this solution is a deep-learning computer vision model that is developed leveraging an extensive and diverse data set and the model has demonstrated fit-for-use performance in wide-ranging conditions. The smoke detection model uses a novel approach for real time detection of hydrocarbon emission leveraging semantic segmentation, through compact vision transformers. This innovative approach enables real-time identification of smoke in flare images, which is a key control signal for an efficient closed-loop system. The training dataset includes a rich diversity of flare images (collected from global locations and environment conditions), including steam images with blank smoke masks to mitigate false positives. Additionally, images with minimal smoke were included to enhance the model's sensitivity to light smoke detection. External testing was conducted on previously unseen datasets, ensuring the model's robustness and generalizability. The developed model performs robust smoke detection with high precision alerting and minimizing false positives from steam images. This application has been deployed in the plant within an end-to-end solution, creating a positive impact on operations.
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Shirkhorshidi, R., N. Norazman, M. B. Rosli, M. Arriffin, and M. Karbasian. "How to Comply Ai Generated Data with Wells Hse Performance Procedures and Requirement in Practice." In SPE/IADC Middle East Drilling Technology Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/214598-ms.

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In recent years, many companies have deployed AI-based monitoring systems to detect unsafe act and conditions on industrial setups in real time. Although such technology has proven its capability, the industry hasn't shown a rush toward its usage as what we experienced on (e.g., ChatGPT). This fact shows that using AI integration into closed circuit television (CCTV) cameras alone is not enough to maximize such technologies in industrial setups and processes despite their huge development. An offshore drilling rig has an extremely harsh working environment, which involves people of a wide variety of professions and cultures. Therefore, any solutions that aim to mitigate risks there must engage all sectors and stockholders, be based on existing culture and comply with current procedures on rigs. This is neither an easy nor an impossible mission. A key objective of this practice was to build an AI-based platform that would not only benefit end users in various levels and prove the technology capability, but also deliver values. Therefore, to create the most efficient AI-based platform for everyone, cutting-edge noise reduction technology, risk assessments, and technology capabilities were aligned with existing safety procedures, reporting systems, and management cultures.
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Ninan, Adarsh, Nicolas Le Gouhinec, Jessie James Scott, Feras Yaser Mohammed Salameh, Mohammad Nayel Elouri, and Hamad Mohammed H Alqahtani. "AI/ML-Based Safety Monitoring System for Offshore Drilling Rigs: Enhancing Safety, Compliance and Operational Efficiency." In SPE/IADC Middle East Drilling Technology Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/225680-ms.

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Abstract The offshore drilling industry continuously seeks innovative technologies to enhance crew safety and operational performance due to the complex operational tasks and hazards present. Aramco Rowan Drilling (ARO Drilling) established a dedicated ARO Behavior Centre (ABC) at its headquarters, aimed at proactively reshaping offshore operational behaviors through centralized Closed-Circuit Television (CCTV) monitoring, active intervention using Stop Work Authority (SWA), and systematic analysis of observed behaviors. To enhance ABC capabilities, we implemented an advanced Artificial Intelligence/Machine Learning (AI/ML) based safety monitoring system specifically tailored for offshore jack-up rigs. This system integrates advanced computer vision analytics and Internet of Things (IoT) devices for continuous real-time monitoring, improving the detection of unsafe behaviors and conditions, including Personal Protective Equipment (PPE) non-compliance, unauthorized red zone entries, housekeeping deficiencies and line of fire exposures. A comprehensive evaluation process was conducted, encompassing multiple technological solutions including visual analytics through smart cameras and wearable geofencing devices. Selected technologies underwent rigorous proof-of-concept tests to assess their feasibility and effectiveness in diverse offshore operational scenarios. Implementation results demonstrate tangible improvements in hazard detection, reduced unauthorized access incidents, and enhanced compliance with defined safety protocols. Specific Key Performance Indicators (KPIs) were developed, establishing measurable benchmarks for personnel exposure risk within dynamic red zones. This paper documents ARO Drilling's comprehensive approach to establishing the ABC and integrating AI/ML-driven technologies, highlighting significant operational safety improvements and providing foundational insights for industry-wide safety management innovations.
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