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OpenCCTV: A Video Analytic Platform for CCTV Security

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dc.contributor.advisor Dailey, Dr. Matthew N.
dc.contributor.author Tissera, Ponsuge Anjana Chandani
dc.contributor.other Ekpanyapong, Dr. Mongkol
dc.contributor.other Guha, Prof. Sumanta
dc.date.accessioned 2017-05-02T03:56:51Z
dc.date.available 2017-05-02T03:56:51Z
dc.date.issued 2017-05
dc.identifier.other AIT
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/851
dc.description 74 p. en_US
dc.description.abstract Surveillance cameras and infrastructure such as Video Management Systems (VMSs) and Digital Video Recorders (DVRs) have become a ubiquitous commodities in the present day world. Video streams obtained from these cameras combined with VMSs/ DVRs can be used to implement very effective and affordable security solutions. Most modern surveillance cameras as well as VMSs/ DVRs have built-in video analytic modules, such as motion detection. But the variety of video analytic modules provided in them and their capabilities are usually very limited. Hence, at present, video feeds in surveillance systems are commonly subjected to analysis of skilled human operators to identify incidents compromising safety and security of a given enterprise. Sometimes this video analysis has to be performed non-stop and in real-time which is tedious to perform manually. With the great progress video analytic software has made and the variety of video analytic types available, it is possible to transfer some of this tedious manual analysis to computers. But very often, advanced analytics require higher memory, processing power, and storage demands that cannot be easily provided in embedded systems of cameras or in VMSs/ DVRs. Therefore, advanced video analytics are usually executed on dedicated servers. If there is a middleware platform to integrate video streams obtained form cameras or VMSs/ DVRs with advanced video analytics, modern advancements in video analysis software can be put into use and the tiresome manual work involved in making existing surveillance systems can be greatly reduced. Thus, in this project, I developed a middleware platform to facilitate flexible and dynamic integration of video streams obtained from various video sources such as direct cameras and VMSs/ DVRs with advanced video analytic modules executed as processes on dedicated servers, such that a large-scale, comprehensive security solution can be constructed with less manual work than would otherwise be necessary. Further, the middleware platform provides advanced video stream integration patterns; for example many types of analysis can be performed on a single video stream, or many video streams can be routed to a single video analytic process. en_US
dc.description.sponsorship AIT Fellowship en_US
dc.language.iso en en_US
dc.publisher AIT en_US
dc.subject OpenCV en_US
dc.subject CCTV Security en_US
dc.subject Middleware en_US
dc.subject Video Analytics en_US
dc.subject Video Management Systems en_US
dc.subject Analytic Server en_US
dc.title OpenCCTV: A Video Analytic Platform for CCTV Security en_US
dc.type Thesis en_US


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