DocumentCode :
763374
Title :
Image-Based Traffic Monitoring With Shadow Suppression
Author :
Song, Kai-Tai ; Tai, Jen-Chao
Author_Institution :
Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu
Volume :
95
Issue :
2
fYear :
2007
Firstpage :
413
Lastpage :
426
Abstract :
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
Keywords :
image colour analysis; road vehicles; traffic engineering computing; color-space ratio model; image analysis; image-based traffic monitoring; shadow pixels detection; shadow suppression; spatial analysis; traffic imagery; vehicle detection; visual tracking; Cameras; Communication system traffic control; Image color analysis; Image segmentation; Image sequence analysis; Monitoring; Parameter estimation; Pixel; Traffic control; Vehicles; Image processing; shadow suppression; traffic monitoring system; vehicle detection; visual tracking;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/JPROC.2006.888403
Filename :
4142935
Link To Document :
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