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

fYear

2011

fDate

16-18 April 2011

Firstpage

2578

Lastpage

2581

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on

Conference_Location

XianNing

Print_ISBN

978-1-61284-458-9

Type

conf

DOI

10.1109/CECNET.2011.5768474

Filename

5768474