Moving Cast Shadow Detection Using Texture Information

نویسندگان

  • Mani Ranjbar
  • Shohreh Kasaei
چکیده

In this paper, we have proposed an efficient moving cast shadow detection using texture features. Texture features are estimated using fractal dimension and is employed to discriminate between shadow region and moving foreground region. Complexity and noise reduction is achieved using wavelet transform which has not been performed before in the literature. Block-wise calculation has accelerated the method. The proposed texture modeling method unlike most other approaches is able to cope with very dark shadows as well as light shadows.

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تاریخ انتشار 2007