Title :
Person-on-person violence detection in video data
Author :
Datta, Ankur ; Shah, Mubarak ; Lobo, Niels Da Vitoria
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Central Florida Univ., Orlando, FL, USA
Abstract :
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.
Keywords :
gesture recognition; image motion analysis; image sequences; video signal processing; acceleration measure vector; data sequences; fist fighting; hitting; human violence; jerk; kicking; limb orientation information; motion trajectory information; person-on-person violence detection; temporal derivative; video data; Arm; Cameras; Feature extraction; Histograms; Humans; Inference algorithms; Layout; Leg; Motion pictures; Object detection;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1044748