DocumentCode :
2410663
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
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
433
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1044748
Filename :
1044748
Link To Document :
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