NDLI: Towards realtime visual based tracking in cluttered traffic scenes

Content Provider	IEEE Xplore Digital Library
Author	Koller, D. Weber, J. Malik, J.
Copyright Year	1994
Description	Author affiliation: Comput. Sci. Div., California Univ., Berkeley, CA, USA (Koller, D.; Weber, J.; Malik, J.)
Abstract	Concerns automatic traffic scene analysis. Major improvements in performance and quality of results of machine vision based traffic surveillance systems allow connections to symbolic reasoning components that attain a high level of accuracy and reliability. We apply an approach for detecting and tracking vehicles in road traffic scenes using an explicit occlusion reasoning step. We represent moving vehicles by closed contours and employ a contour tracker based on intensity and motion boundaries. Motion and contour estimation is performed by linear Kalman filters based on an affine motion model. Occlusion detection is performed by intersecting the depth ordered regions associated to the objects. The intersection is then excluded in the motion and shape update. A contour associated to a moving region is initialized using a motion segmentation step which is based on differences between filter outputs of an acquired image and a continuously updated background image. Symbolic reasoning of the traffic scene based on the extracted car tracks is performed using a belief network. Belief networks provide a flexible and theoretically sound framework for traffic scene analysis because of their inherent ability to model uncertainties. We show the validity of our approach and present results of experiments with real world traffic scenes. Preliminary results of an implementation on special purpose hardware using C-40 Digital Signal Processors show that near real-time performance can be achieved without further improvements.
Starting Page	201
Ending Page	206
File Size	966336
Page Count	6
File Format	PDF
ISBN	0780321359
DOI	10.1109/IVS.1994.639503
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-24
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Layout Traffic control Telecommunication traffic Vehicle detection Machine vision Surveillance Road vehicles Tracking Motion estimation Object detection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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