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Abstract

In this paper, we propose un automated vision-based traffic surveillance system. The system works on one-direction roads for vehicle counting and moving- contrariwise vehicle detection. Objects are extracted by using a hybrid method of background subtraction and temporal differencing, which consider each object as a connected component. The proposed multiple-object tracking method finds object correspondences by template matching. Our surveillance system works in real time at approximately 12Hz for 352x288 resolution color video on an Athlon XP 2000+ PC

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Issue: Vol 7 No 10 (2004)
Page No.: 5-12
Published: Oct 31, 2004
Section: Article
DOI: https://doi.org/10.32508/stdj.v7i10.3258

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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Hoai Bac, L., & Thien Dinh, T. (2004). A VISION-BASED TRAFFIC SURVEILLANCE SYSTEM. Science and Technology Development Journal, 7(10), 5-12. https://doi.org/https://doi.org/10.32508/stdj.v7i10.3258


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