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A Novel Shadow Detection Method Based on Color and Texture Features
Li Qiaohong #,Zhang Honggang *,Gu Fang,Dai Yourui,Yu Jie
Pattern Recognition and Intelligent System Lab, Beijing University of Posts and Telecommunications, Beijing 100876
*Correspondence author
#Submitted by
Subject:
Funding: none
Opened online: 4 January 2012
Accepted by: none
Citation: Li Qiaohong,Zhang Honggang,Gu Fang.A Novel Shadow Detection Method Based on Color and Texture Features[OL]. [ 4 January 2012] http://en.paper.edu.cn/en_releasepaper/content/4456940
 
 
This paper describes a new method for shadow detection of moving objects in video surveillance applications, improving the detection performance and fascinating the following image processing steps, such as object tracking, classification and behavior analysis. This method is based on the priori that shadow region and background region share the similar textural and chromatic characteristics. This method combines the virtues of color and texture features, to select the best criterion to discriminate shadow pixels from object pixels. Experiment shows that this method can achieve desirable performance under indoor and outdoor environment.
Keywords:shadow removal; shadow detection; HSV; LBP; ITS
 
 
 

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