NDLI: A real-time vision system for automatic traffic monitoring based on 2D spatio-temporal images

Content Provider	IEEE Xplore Digital Library
Author	Zhigang Zhu Bo Yang Guangyou Xu Dingji Shi
Copyright Year	1996
Description	Author affiliation: Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Zhigang Zhu)
Abstract	The authors present a novel approach using 2D spatio-temporal images for automatic traffic monitoring. A TV camera is mounted above the highway to monitor the traffic through two slice windows for each traffic lane. One slice window is along the lane and the other perpendicular to the lane axis. Two types of 2D spatio-temporal (ST) images are used in the system: the panoramic view image (PVI) and the epipolar plane image (EPI). The real-time vision system for automatic traffic monitoring, VISATRAM, an inexpensive system with a PC 486 and an image frame grabber has been tested with real road images. Not only can the system count the vehicles and estimate their speeds, but it can also classify the passing vehicles using 3D measurements (length, width and height). The VISATRAM works robustly under various light conditions including shadows in the day and vehicle lights at night, and automatically copes with the gradual and abrupt changes of the environment.
Starting Page	162
Ending Page	167
File Size	661592
Page Count	6
File Format	PDF
ISBN	0818676205
DOI	10.1109/ACV.1996.572047
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-12-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Machine vision Computerized monitoring Vehicles TV Cameras Automated highways Automatic testing System testing Roads
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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