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