• 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