Title :
Shadow removing based on color and texture features
Author :
Zhenhong, Shang ; Jinxia, Shang ; Xiaofang, Cai ; Hui, Liu ; Guofeng, Shu ; Hao, Liu ; Zhenping, Qiang
Author_Institution :
Coll. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
Abstract :
An algorithm was proposed to remove the moving shadow in video surveillance. This method gets the moving objects from motion detection in first, in which removal shadow on invariable features of colors and local texture, then gets rid of the change suddenly pixels in edge of shadow. Experiments show that having a strong ability to adapt to different scenes, the algorithm retains the integrity of the foreground., by combining invariable color feature and local change value in pixels.
Keywords :
image colour analysis; image motion analysis; image texture; object detection; video signal processing; video surveillance; color features; local binary pattern; motion detection; moving objects; moving shadow removal; pixel local change value; shadow edge; texture features; video surveillance; Color; Computers; Feature extraction; Image color analysis; Image segmentation; Pattern analysis; Pixel; Color Feature; Local Binary Pattern(LBP); Morphological method; Shadow removing;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768474