Volume 9 Number 5 (May 2014)
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JCP 2014 Vol.9(5): 1144-1149 ISSN: 1796-203X
doi: 10.4304/jcp.9.5.1144-1149

An Abnormal Crowd Behavior Detection Algorithm Based on Fluid Mechanics

Xiaofei Wang1, 2, Mingliang Gao3, Xiaohai He1, Xiaohong Wu1, Yun Li1
1College of Electronics and Information Engineering, Sichuan University, Chengdu, China
2Arts & Sciences College of Sichuan Normal University, Chengdu, China
3School of Electrical & Electronic Engineering, Shandong University of Technology, Zibo, China


Abstract—Abnormal crowd behavior detection is an advanced topic researched in fields of computer vision and digital image processing. The problems such as diversity of monitoring scene, different crowd density and mutual occlusion among crowds etc result in a low recognition rate for abnormal crowd behavior detection. In order to solve these problems, this paper combines a streakline model based on fluid dynamics with an abnormal behavior detection method presented by Hassner et al., and proposes a modified algorithm to improve the recognition accuracy of abnormal crowd behavior. Finally, the validity and accuracy of the algorithm are verified via a large amount of challenging real-world surveillance videos.

Index Terms—Streakline, Streak flow, Abnormal crowd behavior detection, Support vector machine

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Cite: Xiaofei Wang, Mingliang Gao, Xiaohai He, Xiaohong Wu, Yun Li, "An Abnormal Crowd Behavior Detection Algorithm Based on Fluid Mechanics," Journal of Computers vol. 9, no. 5, pp. 1144-1149, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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