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Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis

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dc.contributor.author Hettiarachchi, AL
dc.contributor.author Thathsarani, HO
dc.contributor.author Wickramasinghe, PU
dc.contributor.author Wickramasuriya, DS
dc.contributor.author Rodrigo, R
dc.date.accessioned 2018-11-07T21:00:20Z
dc.date.available 2018-11-07T21:00:20Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/13653
dc.description.abstract Manual analysis of large volumes of video surveillance footage stemming from the widespread deployment of security cameras is error prone, expensive and time consuming. Despite the commercial availability of software for automated analysis, many products lack third party extensibility, the capability to perform simultaneous event detection and have no provision for anomaly detection in highly dense crowded scenes. We present a plugin based software system for video surveillance applications addressing these shortcomings and achieve realtime performance in typical crowded scenes. Core parameters are computed once per frame and shared among plugins to improve performance by eliminating redundant calculations. A novel multiple pedestrian tracking algorithm is incorporated into the framework to achieve the expected performance. We also propose an improvement to anomaly detection in densely crowded scenes using non-trajectory based dominant motion pattern clusters that can enhance the detection capability of the state-of-the-art. en_US
dc.language.iso en en_US
dc.subject Video surveillance; computer vision; anomaly detection en_US
dc.title Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Electronic and Telecommunication Engineering en_US
dc.identifier.year 2014 en_US
dc.identifier.conference 7th International Conference on Information and Automation for Sustainability en_US
dc.identifier.place Colombo en_US
dc.identifier.email 090184v@ent.mrt.ac.lk en_US
dc.identifier.email 090518c@ent.mrt.ac.lk en_US
dc.identifier.email 090560v@ent.mrt.ac.lk en_US
dc.identifier.email 090561b@ent.mrt.ac.lk en_US
dc.identifier.email ranga@ent.mrt.ac.lk en_US


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