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