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Development of a real time Image analysis system for traffic monitoring applications.

Thompson, M S; Wan, C L; Binnie, T D

Authors

M S Thompson

C L Wan

T D Binnie



Abstract

Image processing offers unparalleled potential for traffic monitoring and control. For many years engineers have attempted to perfect the art of automatic data abstraction from sequences of video images. This paper outlines a research project undertaken at Napier University by the authors in the field of image processing for automatic traffic analysis. A software based system implementing TRIP algorithms to count cars and measure vehicle speed has been developed by members of the Transport Engineering Research Unit (TERU) at the University. The TRIP algorithm has been ported and evaluated on an IBM PC platform with a view to hardware implementation of the pre-processing routines required for vehicle detection.
Results show that a software based traffic counting system is realisable for single window processing. Due to the high volume of data required to be processed for full frames or multiple lanes, system operations in real time are limited. Therefore specific hardware is required to be designed. The paper outlines a hardware design for implementation of inter-frame and background differencing, background updating and shadow removal techniques. Preliminary results showing the processing time and counting accuracy for the routines implemented in software are presented and a real time hardware pre-processing architecture is described.

Citation

Thompson, M. S., Wan, C. L., & Binnie, T. D. (1993). Development of a real time Image analysis system for traffic monitoring applications. . https://doi.org/10.4203/ccp.17.8.2

Conference Name Civil Comp. '93
Start Date Jan 13, 2004
End Date Jan 16, 2004
Acceptance Date Sep 9, 1999
Publication Date 1993
Deposit Date Jun 10, 2016
Peer Reviewed Not Peer Reviewed
Pages 189-195
DOI https://doi.org/10.4203/ccp.17.8.2
Keywords Image processing; traffic monitoring; automatic data abstraction;
Public URL http://researchrepository.napier.ac.uk/id/eprint/10179



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