DocumentCode :
1657534
Title :
Background subtraction based on a combination of texture, color and intensity
Author :
Jian, Xu ; Xiao-qing, Ding ; Sheng-jin, Wang ; You-shou, Wu
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing
fYear :
2008
Firstpage :
1400
Lastpage :
1405
Abstract :
A new background subtraction algorithm based on a combination of texture, color and intensity information is presented. The texture is depicted by DLBP, a modified version of LBP, color is a local template in HS color space and intensity the pixel intensity value. The approach works robustly both on rich texture areas and uniform areas even with noise and can deal with weak cast shadows effectively. The comparative experiments show that the overall performance of our method is better than other methods in most scenes.
Keywords :
image colour analysis; image resolution; image texture; HS color space; background subtraction algorithm; intensity information; pixel intensity value; Change detection algorithms; Colored noise; Hidden Markov models; Histograms; Image edge detection; Laboratories; Layout; Lighting; Robustness; Statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697394
Filename :
4697394
Link To Document :
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