Violence detection system

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dc.contributor.author Khan, Mubashir
dc.contributor.author Sayed, Najneen Fatma Mustaq Ali [15CO07]
dc.contributor.author Kothari, Hozefa Abbas [15CO24]
dc.contributor.author Chougle, Zaid Noornabi [15CO15]
dc.date.accessioned 2019-08-01T11:54:54Z
dc.date.available 2019-08-01T11:54:54Z
dc.date.issued 2019-05
dc.identifier.uri http://www.aiktcdspace.org:8080/jspui/handle/123456789/3210
dc.description.abstract As action recognition problem is becoming a hot topic within computer vision, the detection of fights or in general aggressive behavior has been comparatively less studied. Such capability may be extremely useful in some video surveillance scenarios like in prisons, psychiatric centers or even embedded in camera phones Our System will be capable enough to detect aggressive behavior in a fight and various objects used in it. It will be using various computer vision technique and deep neural network to detect and recognize objects and actions in the violent outbreak. Our System is mainly dependent on how the model is trained and how good the quality of CCTV camera is, as we will be doing the processing on CCTV feed Keywords: Computer-vision, neural network, violent outbreak, action recognition, object detection, Keras, Numpy, Tensorflow, surveillance video, HMM(Hidden Markov Model) en_US
dc.language.iso en en_US
dc.publisher AIKTC en_US
dc.relation.ispartofseries PE0588;
dc.subject Project Report - CO en_US
dc.title Violence detection system en_US
dc.type Project Report en_US


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