DocumentCode :
555139
Title :
Using texture analysis method to removal moving human cast shadow
Author :
Qi Yang ; Kuisheng Qiu
Author_Institution :
Sch. of Mech. Eng., Shenyang Ligong Univ., Shenyang, China
Volume :
1
fYear :
2011
fDate :
20-22 Aug. 2011
Firstpage :
152
Lastpage :
155
Abstract :
In this paper, texture analysis method is presented to segment and removal the human´s shadow, shadows always produced by the light. The method is composed of three step: firstly, using the Gaussian mixture model extract the foreground and background from the Human motion sequences, secondly, using Gabor transform to extract texture features of the foreground and background and establishment the eigenvector that based on the pixels, finally, using SVM classified the eigenvector and if the foreground´s eigenvector and background´s eigenvector are the same, so the pixel is the shadow. The results showed that using the texture analysis method segment shadows clearly and it can do well at various environmental, for example the illumination changes or color deviation.
Keywords :
Gaussian processes; eigenvalues and eigenfunctions; feature extraction; image motion analysis; image segmentation; image texture; support vector machines; transforms; Gabor transform; Gaussian mixture model; SVM; background extraction; eigenvector; foreground extraction; human motion sequence; human shadow segmentation; moving human cast shadow removal; support vector machine; texture analysis method; texture feature extraction; Feature extraction; Gaussian distribution; Image color analysis; Manganese; Mathematical model; Support vector machine classification; Gabor; Gaussian mixture model; SVM; eigenvector; texture analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
Type :
conf
DOI :
10.1109/ITAIC.2011.6030173
Filename :
6030173
Link To Document :
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