@article{ref1,
title="Recognition of aggressive human behavior using binary local motion descriptors",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2008",
author="Chen, Datong and Wactlar, Howard and Chen, Ming-Yu and Gao, Can and Bharucha, Ashok and Hauptmann, Alex",
volume="2008",
number="",
pages="5238-5241",
abstract="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>",
language="en",
issn="1557-170X",
doi="10.1109/IEMBS.2008.4650395",
url="http://dx.doi.org/10.1109/IEMBS.2008.4650395"
}