NDLI: Traffic Abnormality Detection through Directional Motion Behavior Map

Content Provider	IEEE Xplore Digital Library
Author	Nan Dong Zhen Jia Jie Shao Ziyou Xiong Zhipeng Li Fuqiang Liu Jianwei Zhao PeiYuan Peng
Copyright Year	2010
Abstract	Automatic traffic abnormality detection through visualsurveillance is one of the critical requirements for IntelligentTransportation Systems (ITS). In this paper, wepresent a novel algorithm to detect abnormal traffic eventsin crowded scenes. Our algorithm can be deployed with fewsetup steps to automatically monitor traffic status. Differentfrom other approaches, we don’t need to define region ofinterests (ROI) or tripwires nor to configure object detectionand tracking parameters. A novel object behavior descriptor- directional motion behavior descriptors are proposed.The directional motion behavior descriptors collectforeground objects’ direction and speed information from avideo sequence with normal traffic events, and then thesedescriptors are accumulated to generate a directional motionbehavior map which models the normal traffic status.During detection steps, we first extract the directional motionbehavior map from the newly observed video and thenmeasure the differences between the normal behavior mapand the new map. If new direction motion behaviors arevery different from the descriptors in the normal behaviormap, then the corresponding regions in the observed videocontain traffic abnormalities. Our proposed algorithm hasbeen tested using both synthesized and real surveillancevideos. Experimental results demonstrated that our algorithmis effective and efficient for practical real-time trafficsurveillance applications.
Starting Page	80
Ending Page	84
File Size	514511
Page Count	5
File Format	PDF
ISBN	9781424483105
e-ISBN	9781424483112
DOI	10.1109/AVSS.2010.61
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Real time systems Event detection Surveillance Video sequences Feature extraction Pixel
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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