Person-On-Person Violence Detection In Video Data
We address the problem of detecting human violence in video, such as fist fighting, kicking, hitting with objects, etc. To detect violence we rely on motion trajectory information and on orientation information of a person’s limbs. We define an Acceleration Measure Vector (AMV) composed of direction and magnitude of motion and we define jerk to be the temporal derivative of AMV. We present results from several data sequences involving multiple types of violent activities. © 2002 IEEE.
Proceedings - International Conference on Pattern Recognition
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Datta, Ankur; Shah, Mubarak; and Da Vitoria Lobo, Niels, "Person-On-Person Violence Detection In Video Data" (2002). Scopus Export 2000s. 2743.