標題: Image-based traffic monitoring with shadow suppression
作者: Song, Kai-Tai
Tai, Jen-Chao
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: image processing;shadow suppression;traffic monitoring system;vehicle detection;visual tracking
公開日期: 1-Feb-2007
摘要: For a vision-based traffic monitoring and enforcement system, shadows of moving objects often cause serious errors in image analysis due to misclassification of shadows and moving vehicles. An effective shadow suppression method is thus required to improve the accuracy of image analysis and this paper proposes a novel color-space ratio model for detecting shadow pixels in traffic imagery. The proposed approach does not require many image sequences for constructing the model. Instead the model can be easily built up using a shadow region in a single image frame. To increase the accuracy of shadow detection, we design two types of spatial analysis to verify actual shadow pixels. Comparative results show that the proposed method works better than several well-known methods. The proposed methods have been applied to an image-based traffic monitoring system for detecting shadow pixels in traffic imagery. The experimental results not only validate the feasibility of the proposed algorithm but also successfully estimate traffic parameters such as traffic flows, traffic densities, vehicle turn ratios and vehicle speeds, all with satisfactory accuracy.
URI: http://dx.doi.org/10.1109/JPROC.2006.888403
http://hdl.handle.net/11536/11144
ISSN: 0018-9219
DOI: 10.1109/JPROC.2006.888403
期刊: PROCEEDINGS OF THE IEEE
Volume: 95
Issue: 2
起始頁: 413
結束頁: 426
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