Title
Person-On-Person Violence Detection In Video Data
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. © 2002 IEEE.
Publication Date
1-1-2002
Publication Title
Proceedings - International Conference on Pattern Recognition
Volume
16
Issue
1
Number of Pages
433-438
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICPR.2002.1044748
Copyright Status
Unknown
Socpus ID
1542326905 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/1542326905
STARS Citation
Datta, Ankur; Shah, Mubarak; and Da Vitoria Lobo, Niels, "Person-On-Person Violence Detection In Video Data" (2002). Scopus Export 2000s. 2743.
https://stars.library.ucf.edu/scopus2000/2743