NDLI: Freeway Auto-surveillance From Traffic Video

Content Provider	IEEE Xplore Digital Library
Author	Li Bo Chen Qimei Guo Fan
Copyright Year	2006
Description	Author affiliation: Commun. Technol. Res. Inst., Nanjing Univ. (Li Bo; Chen Qimei; Guo Fan)
Abstract	Video based surveillance systems have been widely used on freeway for traffic monitoring, as the cameras can provide the most intuitionistic information. In order to manage all the traffic videos automatically, in this paper, a real-time auto-surveillance system is presented. The freeway traffic videos are taken as input video from Pan Tilt Zoom (PTZ) camera, and then produces an analysis of the states and activity of the vehicles, if there is any abnormal instance, an alarm is sent to awake surveillants. To achieve this functionality, our system relies on three main procedures. The first one initializes the system. It detects the ROI (region of interested) of the scene, and performs the camera calibration to remove the perspective effect of the incoming image. The second one segments moving vehicles from the images and tracks them real-time. It uses a set of methods to extracts the moving regions and tracks these moving regions by matching them between frames of the video sequence to obtain high-level information. In the third procedure, activities of vehicles are analyzed based on a series of preset situations which would happen on freeway. The detail information of each vehicle and the global statistical information are checked to find out any abnormal instance, and then triggered an alarm. We present details of the system, together with experiment results which demonstrate the accuracy and time responses
Starting Page	167
Ending Page	170
File Size	5211604
Page Count	4
File Format	PDF
ISBN	0780395867
DOI	10.1109/ITST.2006.288825
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems freeway traffic video camera calibration Calibration Data mining activity analysis vehicle Image segmentation Surveillance real-time pan tilt zoom camera Road vehicles Layout moving detection Traffic control Cameras Auto-surveillance track Monitoring
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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