Relevant bibliographies by topics / Video sensor based detection / Dissertations / Theses
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Dissertations / Theses on the topic 'Video sensor based detection'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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1

Olgemar, Markus. "Camera Based Navigation : Matching between Sensor reference and Video image." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15952.

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<p>an Internal Navigational System and a Global Navigational Satellite System (GNSS). In navigational warfare the GNSS can be jammed, therefore are a third navigational system is needed. The system that has been tried in this thesis is camera based navigation. Through a video camera and a sensor reference the position is determined. This thesis will process the matching between the sensor reference and the video image.</p><p>Two methods have been implemented: normalized cross correlation and position determination through a homography. Normalized cross correlation creates a correlation matrix.
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2

Salim, Christian. "Data Reduction based energy-efficient approaches for secure priority-based managed wireless video sensor networks." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD052/document.

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L'énorme quantité de données dans les réseaux de capteurs vidéo sans fil (WVSN) pour les nœuds de capteurs de ressources limitées augmente les défis liés à la consommation d'énergie et à la consommation de bande passante. La gestion du réseau est l’un des défis de WMSN en raison de l’énorme quantité d’images envoyées simultanément par les capteurs au coordinateur. Dans cette thèse, pour surmonter ces problèmes, plusieurs contributions ont été apportées. Chaque contribution se concentre sur un ou deux défis, comme suit: Dans la première contribution, pour réduire la consommation d'énergie, une
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3

Wang, Ying, and Weiyi Lv. "Indoor video-based smoke detection." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-9573.

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Traditional smoke detection methods need sensors close to the source of the smoke. In order to avoid this disadvantage, this thesis presents a method for indoor video based smoke detection. In addition, it helps to improve the success rate of detection, as well as reducing the false detection rate of suspected smoke. This method consists of two parts. First, we create a Gaussian mixture model to detect smoke color pixels. Then, we use the smoke’s dynamic features to detect the smoke area and extract it from the area found in the first step, and in that way we can find the real smoke area. Our
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4

Barrios, Núñez Juan Manuel. "Content-based video copy detection." Tesis, Universidad de Chile, 2013. http://www.repositorio.uchile.cl/handle/2250/115521.

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Doctor en Ciencias, Mención Computación<br>La cantidad y el uso de videos en Internet ha aumentado exponencialmente durante los últimos años. La investigación académica en tópicos de videos se ha desarrollado durante décadas, sin embargo la actual ubicuidad de los videos presiona por el desarrollo de nuevos y mejores algoritmos. Actualmente existen variadas necesidades por satisfacer y muchos problemas abiertos que requieren de investigación científica. En particular, la Detección de Copias de Video (DCV) aborda la necesidad de buscar los videos que son copia de un documento original. El proce
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Nyberg, Selma. "Video Recommendation Based on Object Detection." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-351122.

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In this thesis, various machine learning domains have been combined in order to build a video recommender system that is based on object detection. The work combines two extensively studied research fields, recommender systems and computer vision, that also are rapidly growing and popular techniques on commercial markets. To investigate the performance of the approach, three different content-based recommender systems have been implemented at Spotify, which are based on the following video features: object detections, titles and descriptions, and user preferences. These systems have then been 
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Wang, Jing. "Spatio-temporal volume-based video event detection." Thesis, University of Huddersfield, 2012. http://eprints.hud.ac.uk/id/eprint/17552/.

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Online and offline video clips provide rich information on dynamic events that occurred over a period of time, for example, human actions, crowd behaviours, and other subject pattern changes. Although substantial progresses have been made in the last 3 decades on 2D image feature processing and their applications in areas such as face matching and objects recognition, video event detection still remains one of the most challenging fields in computer vision study due to the wide range of continuous and non-linear signals engaged by an imaging system, and the inherent semantic difficulties in ma
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7

Sun, Kailiang. "Fluorescence based optical sensor for protein detection." Birmingham, Ala. : University of Alabama at Birmingham, 2008. https://www.mhsl.uab.edu/dt/2010r/ksun.pdf.

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8

Williams, Chris Williams. "Knowledge-Based Video Compression for Robots and Sensor Networks." Scholar Commons, 2006. http://scholarcommons.usf.edu/etd/3915.

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Robot and sensor networks are needed for safety, security, and rescue applicationssuch as port security and reconnaissance during a disaster. These applications rely on realtimetransmission of images, which generally saturate the available wireless networkinfrastructure. Knowledge-based Compression is a strategy for reducing the video frametransmission rate between robots or sensors and remote operators. Because images mayneed to be archived as evidence and/or distributed to multiple applications with differentpost processing needs, lossy compression schemes, such as MPEG, H.26x, etc., are not
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9

Au, Carmen E. "Compression-based anomaly detection for video surveillance applications." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98598.

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In light of increased demands for security, we propose a unique approach to automated video surveillance using anomaly detection. The success of this approach is dependent on the ability of the system to ascertain the novelty of a given image acquired by a video camera. We adopt a compression-based similarity measure to determine similarity between images in a video sequence. Images that are sufficiently similar to the previously-seen images are discarded; conversely, images that are sufficiently dissimilar are stored for comparison with future incoming images.<br>The use of a compression-base
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10

Thomas, Naveen Moham. "Motion based video object detection for event retrieval." Thesis, University of Bristol, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441380.

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11

Poullot, Sébastien. "Scalable Content-Based Video Copy Detection for Stream Monitoring and Video Mining." Paris, CNAM, 2009. http://www.theses.fr/2009CNAM0627.

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This thesis essentially adresses the scability of the indexong methods of vectorial databases. The applications concern the similarity-based search of video descriptors in large volumes in order to perform content-based copy detection. On one hand we want to perform an online monitoring of a video stream on a reference database, containing here 280000 hours of video, which means 17 billions of descriptors. The proposed solution is based on a new indexing and probalistic searching method based on a Zgrid, but also on a distorsion of the video descriptors and on a local density model. The goal i
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Menglei, Min. "Anomaly detection based on multiple streaming sensor data." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36275.

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Today, the Internet of Things is widely used in various fields, such as factories, public facilities, and even homes. The use of the Internet of Things involves a large number of sensor devices that collect various types of data in real time, such as machine voltage, current, and temperature. These devices will generate a large amount of streaming sensor data. These data can be used to make the data analysis, which can discover hidden relation such as monitoring operating status of a machine, detecting anomalies and alerting the company in time to avoid significant losses. Therefore, the appli
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Böckert, Andreas. "Vehicle detection and classification in video sequences." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1244.

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<p>The purpose of this thesis is to investigate the applicability of a certain model based classification algorithm. The algorithm is centered around a flexible wireframe prototype that can instantiate a number of different vehicle classes such as a hatchback, pickup or a bus to mention a few. The parameters of the model are fitted using Newton minimization of errors between model line segments and observed line segments. Furthermore a number of methods for object detection based on motion are described and evaluated. Results from both experimental and real world data is presented.</p>
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Nair, Vinod. "Learning-based detection of people for automated video surveillance." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=80131.

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This thesis addresses the problem of automatically detecting people from images. Our work is motivated by, and demonstrated on, an automated video surveillance application that aims to monitor people appearing in a scene. We adopt a machine learning-based approach to detection: first, a two-class classifier that can accurately distinguish cropped person images from all other types of images is automatically learned from examples. It is then used to spot instances of the person class within a given image. We have developed and implemented two detection systems using this approach.<br>The
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Sun, Renfei. "Attention Network for Video Based Freezing of Gait Detection." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28908.

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Freezing of gait (FoG) is a typical symptom of Parkinson's disease (PD), which is a brief, episodic absence or marked reduction despite the patients' intention of walking. It is important to timely identify FoG events for clinical assessments. However, well-trained experts are required to identify FoG events, which is subjective and time-consuming. Therefore, automatic FoG identification methods are highly demanded. In this study, we address this task as a human action detection problem based on vision inputs. Two novel attention based deep learning architectures, namely convolutional 3D a
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Ayran, Orhan. "Reliable Real-time Video Communication In Wireless Sensor Networks." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608233/index.pdf.

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Many wireless sensor network (WSN) applications require efficient multimedia communication capabilities. However, the existing communication protocols in the literature mainly aim to achieve energy efficiency and reliability objectives and do not address the multimedia communication challenges in WSN. In this thesis, comprehensive performance evaluation of the existing transport protocols is performed and it has been shown that the existing proposals achieve very poor performance in terms of large set of metrics such as packet delivery rate, end-to-end packet delay, bandwidth and energy effici
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17

Sun, Yang. "Intelligent wireless sensor network based vehicle detection and classification /." Full text available from ProQuest UM Digital Dissertations, 2007. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=1&did=1414125751&SrchMode=1&sid=3&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1219779610&clientId=22256.

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18

Sikdar, Ankita. "Depth based Sensor Fusion in Object Detection and Tracking." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1515075130647622.

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19

Cedernaes, Erasmus. "Runway detection in LWIR video : Real time image processing and presentation of sensor data." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-300690.

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Runway detection in long wavelength infrared (LWIR) video could potentially increase the number of successful landings by increasing the situational awareness of pilots and verifying a correct approach. A method for detecting runways in LWIR video was therefore proposed and evaluated for robustness, speed and FPGA acceleration. The proposed algorithm improves the detection probability by making assumptions of the runway appearance during approach, as well as by using a modified Hough line transform and a symmetric search of peaks in the accumulator that is returned by the Hough line transform.
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20

Denman, Simon Paul. "Improved detection and tracking of objects in surveillance video." Queensland University of Technology, 2009. http://eprints.qut.edu.au/29328/.

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Surveillance networks are typically monitored by a few people, viewing several monitors displaying the camera feeds. It is then very dicult for a human op- erator to eectively detect events as they happen. Recently, computer vision research has begun to address ways to automatically process some of this data, to assist human operators. Object tracking, event recognition, crowd analysis and human identication at a distance are being pursued as a means to aid human operators and improve the security of areas such as transport hubs. The task of object tracking is key to the eective use of more ad
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Denman, Simon P. "Improved detection and tracking of objects in surveillance video." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/29328/1/Simon_Denman_Thesis.pdf.

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Surveillance networks are typically monitored by a few people, viewing several monitors displaying the camera feeds. It is then very difficult for a human operator to effectively detect events as they happen. Recently, computer vision research has begun to address ways to automatically process some of this data, to assist human operators. Object tracking, event recognition, crowd analysis and human identification at a distance are being pursued as a means to aid human operators and improve the security of areas such as transport hubs. The task of object tracking is key to the effective use of
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22

Wood, John. "Statistical Background Models with Shadow Detection for Video Based Tracking." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8667.

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<p>A common problem when using background models to segment moving objects from video sequences is that objects cast shadow usually significantly differ from the background and therefore get detected as foreground. This causes several problems when extracting and labeling objects, such as object shape distortion and several objects merging together. The purpose of this thesis is to explore various possibilities to handle this problem.</p><p>Three methods for statistical background modeling are reviewed. All methods work on a per pixel basis, the first is based on approximating the median, the
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Jones, Justin. "Parts-based detection of AK-47s for forensic video analysis." Thesis, Monterey, California. Naval Postgraduate School, 2010. http://hdl.handle.net/10945/5200.

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Approved for public release; distribution is unlimited<br>Law enforcement, military personnel, and forensic analysts are increasingly reliant on imaging ystems to perform in a hostile environment and require a robust method to efficiently locate bjects of interest in videos and still images. Current approaches require a full-time operator to monitor a surveillance video or to sift a hard drive for suspicious content. In this thesis, we demonstrate the effectiveness of automated analysis tools to detect AK-47s in images. By training on a large corpus of labeled data, we created Viola-Jones clas
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Abdul, Jabbar Khalid. "3D video based detection of early lameness in dairy cattle." Thesis, University of the West of England, Bristol, 2017. http://eprints.uwe.ac.uk/32429/.

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Lameness is a major issue in dairy cattle and its early and automated detection offers animal welfare benefits together with potentially high commercial savings for farmers. Current advancements in automated detection have not achieved a sensitive measure for classifying early lameness; it remains to be a key challenge to be solved. The state-of-the-art also lacks behind on other aspects e.g. robust feature detection from a cow's body and the identification of the lame leg/side. This multidisciplinary research addresses the above issues by proposing an overhead, non-intrusive and covert 3-Dime
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Nallaivarothayan, Hajananth. "Video based detection of normal and anomalous behaviour of individuals." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/106947/1/Hajananth_Nallaivarothayan_Thesis.pdf.

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This PhD research has proposed novel computer vision and machine learning algorithms for the problem of video based anomalous event detection of individuals. Varieties of Hidden Markov Models were designed to model the temporal and spatial causalities of crowd behaviour. A Markov Random Field on top of a Gaussian Mixture Model is proposed to incorporate spatial context information during classification. Discriminative conditional random field methods are also proposed. Novel features are proposed to extract motion and appearance information. Most of the proposed approaches comprehensively outp
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Bui, Manh-Tuan. "Vision-based multi-sensor people detection system for heavy machines." Thesis, Compiègne, 2014. http://www.theses.fr/2014COMP2156/document.

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Ce travail de thèse a été réalisé dans le cadre de la coopération entre l’Université de Technologie de Compiègne (UTC) et le Centre Technique des Industries Mécaniques (CETIM). Nous présentons un système de détection de personnes pour l’aide à la conduite dans les engins de chantier. Une partie du travail a été dédiée à l’analyse du contexte de l’application, ce qui a permis de proposer un système de perception composé d’une caméra monoculaire fisheye et d’un Lidar. L’utilisation des caméras fisheye donne l’avantage d’un champ de vision très large avec en contrepartie, la nécessité de gérer le
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Lakshmanan, Ramji S. Chin Bryan Allen. "Phage-based magnetoelastic sensor for the detection of Salmonella typhimurium." Auburn, Ala, 2008. http://hdl.handle.net/10415/1483.

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JANJUA, ZAFFAR HAIDER. "SENSOR-BASED BEHAVIORAL MONITORING FOR EARLY DETECTION OF COGNITIVE DECLINE." Doctoral thesis, Università degli Studi di Milano, 2016. http://hdl.handle.net/2434/391782.

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The advancement in medical science has increased life expectancy in developed countries, which results in a rise in the elderly population. Consequently, age related health issues are also increasing and aging societies are continuously searching for new technologies to provide better healthcare services to the elderly population. One of the prominent health issues relates to the elderly population is cognitive impairment. The decline in cognitive health does not only affect day to day matters of the individual, but also creates difficulties for clinicians and caregivers in terms of providing
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Dunn, Peter L. "Development of a video-based slurry sensor for on-line ash analysis." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-02132009-171601/.

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Liu, Congrui. "Wearable Fall Detection using Barometric Pressure Sensor." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-29968.

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Wearable wireless sensor devices, which are implemented by deploying sensor nodes on objects, are widely utilized in a broad field of applica-tions, especially in the healthcare system for improving the quality of life or monitoring different types of physical data from the observed objects. The aim of this study is to design an in-home, small-size and long-term wearable fall detection system in wireless network by using barometric pressure sensing for elderly or patient who needs healthcare monitoring. This threshold-based fall detection system is to measure the altitude of different position
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Willcox, Simon Ware. "Robust sensor fault diagnosis for aircraft based on analytical redundancy." Thesis, University of York, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329855.

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Pérez, Rúa Juan Manuel. "Hierarchical motion-based video analysis with applications to video post-production." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S125/document.

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Nous présentons dans ce manuscrit les méthodes développées et les résultats obtenus dans notre travail de thèse sur l'analyse du contenu dynamique de scène visuelle. Nous avons considéré la configuration la plus fréquente de vision par ordinateur, à savoir caméra monoculaire et vidéos naturelles de scène extérieure. Nous nous concentrons sur des problèmes importants généraux pour la vision par ordinateur et d'un intérêt particulier pour l'industrie cinématographique, dans le cadre de la post-production vidéo. Les problèmes abordés peuvent être regroupés en deux catégories principales, en fonct
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BAKKAL, Ahmet Tansu. "Acoustic Detection of Rear Approaching Vehicles for Cyclists." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-25182.

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The project aims to detect rear approaching vehicles for cycslist with a low power consumption. Study focuses on acoustic features of the sound of rear approaching vehicles and examines the useful indicators to detect the vehicles. The project includes more then one correlation and reveals their success rates for as many as samples possible.
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Mills, Daniel W. "Towards a commerical microelectrode array based sensor for improved chlorine detection." Thesis, Cranfield University, 2005. http://dspace.lib.cranfield.ac.uk/handle/1826/4177.

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The commercial development of a disposable aqueous chlorine sensor based on a novel microelectrode array fabrication process is described. Non-conducting poly(o-phenylenediamine) films are firstly used to passivate conductive surfaces. Ultrasonic ablation of passivated electrode assemblies then results in the formation of a plurality of wells to expose the underlying conductive substrate, thereby forming a microelectrode array. Microelectrode arrays produced in this manner can be exploited within many electrochemical sensing applications; however, portable aqueous chlorine detection has been s
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Igata, Eishi. "Hydrocarbon vapour detection by waveguide-based sensor using Bragg grating reflector." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365443.

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JIMMY, TJEN. "Entropy-Based Sensor Selection Algorithms for Damage Detection in SHM Systems." Doctoral thesis, Università degli Studi dell'Aquila, 2021. http://hdl.handle.net/11697/173561.

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It is often the case that small faults in a structure lead to irreparable damages that deliver a huge financial loss or even pose safety risks. Thus, an early fault detection is necessary, such that these unfortunate events can be avoided. In this thesis, the problem of structural damage detection is considered. In particular there are 3 main contributions: First, a novel sensors selection algorithm based on the concepts of entropy and information gain from information theory is developed, to reduce the number of sensors without affecting, or even improving, model accuracy; Second, a novel tec
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Dawood, Ali M. "Content based processing and modelling of MPEG-1 video streams." Thesis, University of Essex, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298876.

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Xu, Jinyong. "Development of metal oxide-based gas sensors for the detection of biomarkers in rice aging." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCA007.

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Cette étude vise à développer des capteurs de gaz à haute performance à base d'oxydes métalliques pour la détection à température ambiante de biomarqueurs générés dans le processus de vieillissement du riz. Trois oxydes métalliques ayant des défauts structuraux tels que W18O49, CeO2-x et ZnO/ZnSnO3 ont été préparés avec succès grâce à une stratégie combinant une méthode hydrothermale simple avec différentes modifications de surface, y compris le dopage avec métaux précieux et le conditionnement structurel. La topographie et la composition de phase des oxydes métalliques obtenus ont été étudiée
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Bandarupalli, Sowmya. "Vehicle detection and tracking using wireless sensors and video cameras." ScholarWorks@UNO, 2009. http://scholarworks.uno.edu/td/989.

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This thesis presents the development of a surveillance testbed using wireless sensors and video cameras for vehicle detection and tracking. The experimental study includes testbed design and discusses some of the implementation issues in using wireless sensors and video cameras for a practical application. A group of sensor devices equipped with light sensors are used to detect and localize the position of moving vehicle. Background subtraction method is used to detect the moving vehicle from the video sequences. Vehicle centroid is calculated in each frame. A non-linear minimization method is
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Chen, Juan. "Content-based Digital Video Processing. Digital Videos Segmentation, Retrieval and Interpretation." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4256.

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Recent research approaches in semantics based video content analysis require shot boundary detection as the first step to divide video sequences into sections. Furthermore, with the advances in networking and computing capability, efficient retrieval of multimedia data has become an important issue. Content-based retrieval technologies have been widely implemented to protect intellectual property rights (IPR). In addition, automatic recognition of highlights from videos is a fundamental and challenging problem for content-based indexing and retrieval applications. In this thesis, a paradigm is
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Hsu, Pei-Yun, and 許培芸. "Real-Time Instant Event Detection in Egocentric Videos by Leveraging Sensor-Based Motion Context." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/55445343928103467019.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>103<br>With rapid growth of egocentric videos from wearable devices, the need for instant video event detection is emerging. Different from conventional video event detection, it requires more considerations on a real-time event detection and immediate video recording due to the computational cost on wearable devices (e.g., Google Glass). Conventional work of video event detection analyzed video content in an offline process and it is time-consuming for visual analysis. Observing that wearable devices are usually along with sensors, we propose a novel approach for i
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Tai, WeiShao-Tai, and 戴瑋劭. "Reckless Driving Detection System using Video Sensor." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/57280619964652804032.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>101<br>Due to the advances on wireless technologies and the dramatic cost down on electronic components, the development of Intelligent Transportation System (ITS) has drawn intensive attention in recent years. ITS applies advanced technologies, such as electronic, communication and sensing technologies, to achieve a safe, efficient, and comfort transportation system. It can also reduce the traffic accidents. In this thesis, we apply an on-broad video device (e.g., driving recorder or smart phone with video component) to collect the traffic information. Then, by p
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Huang, Jian-Wei, and 黃建瑋. "Intelligent Video-based Smoke Detection." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/38564911909343106983.

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碩士<br>義守大學<br>資訊工程學系<br>102<br>In order to have a healthy living environment, smoking areas are often set up in certain places. However, a few people still like to smoke in public places with no-smoking signs and then many non-smokers have possible dangers of second-hand smoke. With the purpose of protecting the rights and interests of non-smokers, this thesis is focused on a real-time video surveillance system which is able to detect cigarette smoke through analyzing cigarette smoke color features from successive images taken by the surveillance cameras. In combination with the function of fa
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He, Syu-Dong, and 何旭東. "Video-Based Lane Position Detection System." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/52452698239762558666.

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碩士<br>聖約翰科技大學<br>資訊工程系碩士班<br>101<br>Nowadays, safety driving assistant issues has become more and more important. Firstly, we had developed a video-based lane detection system. We proposed a real time image processing technologies by Hough Transform to describe the lanes. We not only consider about the different brightness but also the color of the environment to enhance the lane recognition rate. The frequency of the lane-change information were regarded the driver’s driving behavior. In this paper, we improved the analysis of the lane-change status by analysis the HSV color histogram. After
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洪肇廷. "Smoke Detection Based on Video Technology." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/85135253961938731119.

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博士<br>國立交通大學<br>電控工程研究所<br>100<br>Smoke is an early sign of most fires; therefore, selecting an appropriate smoke-detection method is essential. Video-based fire detection is currently a fairly common application with the growth in the number of installed surveillance video systems. However, fast detecting smoke without creating a false alarm remains a challenging problem for open or large spaces with the disturbances of common moving objects, such as pedestrians and vehicles. Hence, two important targets for improving video-based smoke detector are the short reaction time and the low false al
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Lin, Hsin-Cheng, and 林欣政. "Learning-Based Video Shot Transition Detection." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/29399207087701109824.

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碩士<br>國立清華大學<br>資訊工程學系<br>93<br>Video shot transition detection has always been an important and popular research topic because numbers of applications related to video processing, such as key frame extraction, video summarization, require segmenting video into shots as their first step. Basically there are two types of shot transitions: abrupt shot transition (cut) and gradual shot transition including dissolve, wipe and fade. Besides, we also define a special kind of shot transition, called fast-pan, which is mainly caused by fast camera pan action. In the thesis, we proposed a learning-base
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Chang, Yun-Jung, and 張運容. "Trajectory Based Video Saliency Map Detection." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/99278946180117396941.

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碩士<br>國立中興大學<br>資訊科學與工程學系<br>102<br>This paper presents a trajectory based method to detect saliency regions in videos taken by either a stationary or a moving camera. We extract a set of collaborative trajectories in a video, and use the velocity and acceleration entropies of the trajectories to represent the video. It allows the use of long-term motions to alleviate short-term noises, and detects object motions of various temporal lengths. On the other hand, we are inspired by the observation that the background trajectories are consistent and enclosed by the dominant camera motion no matter
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徐敬家. "Sensor-Based Motion Prediction for Video Super Resolution." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/yex398.

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碩士<br>國立中正大學<br>通訊工程研究所<br>107<br>Because of the improvement of digital multimedia technology, requirement of high-resolution videos are ubiquitous, but transmitting and storing high-resolution movies consume many resources (energy and design). Especially in mobile devices, wireless network traffic and storage space are more critical. Super-resolution (SR) technology used to reconstruct high-frequency information can solve these issues. The previous work has realized the wavelet-based SR technique for the video consisting of high-resolution key frames and low-resolution non-key frames. The dif
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Chen, Pei-wen, and 陳珮文. "Detection Latency and Sensor Deployment Based on Collaborative Sequential Detection in Wireless Sensor Networks." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/5bm828.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>99<br>The emergence of wireless sensor networks has given the ability to many applications to observe the physical environment automatically. One of the most important applications of wireless sensor networks is to detect a target or event in a region of interest and the detection performance such as the latency of detection is affected by sensor deployment dramatically. Most of prior studies for target detection assume that each sensor node performs the detection tasks independently using a simple binary detection model. This trivial detection strategy may result in
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Chung, Chi-Hung, and 張吉弘. "Video-based Fire and Smoke Detection System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/06965426742936856902.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>102<br>Along with the progress of computer technology, sophisticated image processing/understanding methods have developed and the application of intelligent video surveillance system are becoming more and more popular. In this thesis, we use image processing techniques to analyze image features of flame and smoke. The image features are then used to develop a video-based fire and smoke detection system. The proposed system consists of the fire detection module and the smoke detection module. In the fire detection module, we first detect foreground objects with a
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