DocumentCode :
2343410
Title :
Robust Motion Detection with Color-texture Feature Fuzzy Approach
Author :
Ding, Ying ; Li, Wen-Hui ; Fan, Jing-Tao ; Yang, Hua-Min
Author_Institution :
Sch. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
fYear :
2009
fDate :
2-4 April 2009
Firstpage :
275
Lastpage :
278
Abstract :
Motion detection is a fundamental and important part of many visual tracking systems and of other computer vision applications. In this paper, we present a robust and effective motion detection method for detecting foreground moving objects even with quick lighting changes and shadows in scenes. The proposed approach integrates YCbCr color features with texture by a fuzzy method based on Choquet integral.Numerous experiments on complex video sequences show that the proposed approach, compared with GMM method, can achieve better performance.
Keywords :
computer vision; fuzzy set theory; image colour analysis; image motion analysis; image texture; video signal processing; Choquet integral; color texture feature fuzzy approach; computer vision; robust motion detection; video sequences; visual tracking systems; Computer science; Computer vision; Current measurement; Layout; Lighting; Motion detection; Object detection; Optical computing; Pixel; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Engineering and Information, 2009. ICC '09. International Conference on
Conference_Location :
Fullerton, CA
Print_ISBN :
978-0-7695-3538-8
Type :
conf
DOI :
10.1109/ICC.2009.21
Filename :
5328154
Link To Document :
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