Automatic background updating for video-based vehicle detection

Chunhai Hu; Dongmei Li; Jichuan Liu

doi:10.1117/12.791497

5 March 2008 Automatic background updating for video-based vehicle detection

Chunhai Hu, Dongmei Li, Jichuan Liu

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 662317 (2008) https://doi.org/10.1117/12.791497
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

Video-based vehicle detection is one of the most valuable techniques for the Intelligent Transportation System (ITS). The widely used video-based vehicle detection technique is the background subtraction method. The key problem of this method is how to subtract and update the background effectively. In this paper an efficient background updating scheme based on Zone-Distribution for vehicle detection is proposed to resolve the problems caused by sudden camera perturbation, sudden or gradual illumination change and the sleeping person problem. The proposed scheme is robust and fast enough to satisfy the real-time constraints of vehicle detection.

Citation Download Citation

Chunhai Hu, Dongmei Li, and Jichuan Liu "Automatic background updating for video-based vehicle detection", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662317 (5 March 2008); https://doi.org/10.1117/12.791497

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