Citation

Liu L, Xu J, Wen H, Wang G. J. Wuhan Univ. Technol. Transp. Sci. Eng. 2005; 29(6): 1005-1008.

Affiliation

Southern China University of Technology, Guangzhou 510640, China

Copyright

(Copyright © 2005, Wuhan University of Technology)

DOI

unavailable

PMID

unavailable

Abstract

Video-based surveillance and measuring have been employed more and more widely in ITS (Intelligent Transportation System) because of the rich information content contained in video. The vehicles need to be segmented from the video images to measure traffic parameters. Because of the similarities between the vehicles and their shadow, shadow is often segmented as vehicles. This paper derived an invariance property of texture-extremum distribution in changed illumination environment and presented a novel method for detecting shadow based on the extremum distribution invariance. This method can detect and remove the shadow of vehicles and the light spot caused by vehicle lamp or the other road surface accurately and can be performed fast and is insensitive to the illumination varities.