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Person-on-Person Violence Detection in Video Data
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104474816th International Conference on Patt ...
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Ankur Datta, University of Central Florida
Mubarak Shah, University of Central Florida
Niels Da Vitoria Lobo, University of Central Florida
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.
Citation:
Ankur Datta, Mubarak Shah, Niels Da Vitoria Lobo, "Person-on-Person Violence Detection in Video Data," icpr, vol. 1, pp.10433, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 1, 2002
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