NDLI: Tracking vehicles in congested traffic

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Tracking vehicles in congested traffic

Content Provider	IEEE Xplore Digital Library
Author	Beymer, D. Malik, J.
Copyright Year	1996
Description	Author affiliation: Div. of Comput. Sci., California Univ., Berkeley, CA, USA (Beymer, D.)
Abstract	For the problem of tracking vehicles on freeways using machine vision, existing systems work well in free-flowing traffic. Traffic engineers, however, are more interested in monitoring freeways when there is congestion, and current systems break down for congested traffic due to the problem of partial occlusion. We are developing a feature-based tracking approach for the task of tracking vehicles under congestion. Instead of tracking entire vehicles, vehicle sub-features are tracked to make the system robust to partial occlusion. In order to group together sub-features that come from the same vehicle, the constraint of common motion is used. In this paper we describe the system and experiments of our tracker/grouper on several minutes of videotape.
Starting Page	130
Ending Page	135
File Size	991299
Page Count	6
File Format	PDF
ISBN	0780336526
DOI	10.1109/IVS.1996.566366
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-19
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Traffic control Road vehicles Target tracking Cameras Land vehicles Automotive engineering Real time systems Vehicle detection Detectors Layout
Content Type	Text
Resource Type	Article

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