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Proceedings Paper

Approach for counting vehicles in congested traffic flow
Author(s): Xiaojun Tan; Jun Li; Wei Liu
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Paper Abstract

Occlusion is always a problem when counting vehicles in congested traffic. This paper tries to present an approach to solve the problem. The proposed approach consists of three main procedures. Firstly, a modified background subtraction is performed. The aim is to segment slow moving objects from an illumination-variant background. Secondly, object tracking is performed, where the CONDENSATION algorithm is used. This can avoid the matching problem. Thirdly, an inspecting procedure is executed. When a bus firstly occludes a car and then the bus moves away a few frames later, the car will appear in the scene. The inspecting procedure should find the “new” car and add it as a tracking object.

Paper Details

Date Published: 25 February 2005
PDF: 9 pages
Proc. SPIE 5671, Real-Time Imaging IX, (25 February 2005); doi: 10.1117/12.585794
Show Author Affiliations
Xiaojun Tan, Sun Yat-sen Univ. (China)
Jun Li, Sun Yat-sen Univ. (China)
Wei Liu, Sun Yat-sen Univ. (China)


Published in SPIE Proceedings Vol. 5671:
Real-Time Imaging IX
Nasser Kehtarnavaz; Phillip A. Laplante, Editor(s)

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