DocumentCode
2136844
Title
Integrated multiple behavior models for abnormal crowd behavior detection
Author
Cho, Sang-Hyun ; Kang, Hang-Bong
Author_Institution
Dept. of Comput. Eng., Catholic Univ. of Korea, Bucheon, South Korea
fYear
2012
fDate
22-24 April 2012
Firstpage
113
Lastpage
116
Abstract
We propose a method to detect abnormal crowd behavior using integrated multiple behavior models. Traditional abnormal detection methods are based only on personal behavior models. However, a single behavior model cannot accurately reflect complex crowd behavior. To solve this problem, we introduce an integrated multiple behavior model for accurate abnormal behavior detection in a complex crowd scene. We use not only the personal behavior model, but also multiple social behavior models. The experimental results show that our proposed method efficiently detects the abnormal behavior in a crowded scene.
Keywords
computer vision; object detection; abnormal crowd behavior detection; integrated multiple social behavior models; personal behavior models; single behavior model; Biological system modeling; Computational modeling; Computer vision; Force; Image motion analysis; Social factors; Trajectory; abnormal behavior; behavior model; behavior recognition; crowd behavior; visual surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on
Conference_Location
Santa Fe, NM
Print_ISBN
978-1-4673-1831-0
Electronic_ISBN
978-1-4673-1829-7
Type
conf
DOI
10.1109/SSIAI.2012.6202466
Filename
6202466
Link To Document