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
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;
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
DOI :
10.1109/SSIAI.2012.6202466