Approach for counting vehicles in congested traffic flow

Xiaojun Tan; Jun Li; Wei Liu

doi:10.1117/12.585794

25 February 2005 Approach for counting vehicles in congested traffic flow

Xiaojun Tan, Jun Li, Wei Liu

Proceedings Volume 5671, Real-Time Imaging IX; (2005) https://doi.org/10.1117/12.585794
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

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.

Citation Download Citation

Xiaojun Tan, Jun Li, and Wei Liu "Approach for counting vehicles in congested traffic flow", Proc. SPIE 5671, Real-Time Imaging IX, (25 February 2005); https://doi.org/10.1117/12.585794

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