TY  - JOUR
PY  - 2008//
TI  - Recognition of aggressive human behavior using binary local motion descriptors
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Chen, Datong
A1  - Wactlar, Howard
A1  - Chen, Ming-Yu
A1  - Gao, Can
A1  - Bharucha, Ashok
A1  - Hauptmann, Alex
SP  - 5238
EP  - 5241
VL  - 2008
IS  - 
N2  - Video surveillance is an alternative approach to staff or self-reporting that has the potential to detect and monitor aggressive behaviors more accurately. In this paper, we propose an automatic algorithm capable of recognizing aggressive behaviors from video records using local binary motion descriptors. The proposed algorithm may increase the accuracy for retrieving aggressive behaviors from video records, and thereby facilitates scientific inquiry into this low frequency but high impact phenomenon that eludes other measurement approaches.<p /> <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/IEMBS.2008.4650395
ID  - ref1
ER  -