Background Subtraction for Dynamic Texture Scenes Using Fuzzy Color Histograms

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Background subtraction is a very popular approach for detecting moving objects from a still scene. For this, most of previous methods depend on the assumption that the background is static over short time periods. However, structured motion patterns of the background (e.g., waving leaves, spouting fountain, rippling water, etc.), which are distinctive from variations due to noise, are hardly tolerated in this assumption and thus still lead to high-level false positive rates when using previous models. In this letter, we introduce a novel background subtraction algorithm for temporally dynamic texture scenes. Specifically, we propose to adopt a clustering-based feature, called fuzzy color histogram (FCH), which has an ability of greatly attenuating color variations generated by background motions while still highlighting moving objects. Experimental results demonstrate that the proposed method is effective for background subtraction in dynamic texture scenes compared to several competitive methods proposed in the literature.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2012-03
Language
English
Article Type
Article
Keywords

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Citation

IEEE SIGNAL PROCESSING LETTERS, v.19, no.3, pp.127 - 130

ISSN
1070-9908
DOI
10.1109/LSP.2011.2182648
URI
http://hdl.handle.net/10203/103121
Appears in Collection
EE-Journal Papers(저널논문)
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