Transform Domain Shadow Removal for Foreground Silhouette

Toshiaki SHIOTA  Kazuki NAKAGAMI  Takao NISHITANI  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E96-A   No.3   pp.667-674
Publication Date: 2013/03/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E96.A.667
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Digital Signal Processing
Keyword: 
shadow removal,  foreground segmentation,  transform domain,  simplified algorithm,  

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Summary: 
A novel shadow removal approach is proposed by using block-wise transform domain shadow detection. The approach is based on the fact that the spatial frequency distributions on normal background areas and those under casted shadows from foreground objects are the same. The proposed approach is especially useful for silhouette extraction by using the Gaussian Mixture background Model (GMM) foreground segmentation in the transform domain, because the frequency distribution has already been calculated in the foreground segmentation. The stable shadow removal is realized, due to the transform domain implementation.