Region-based foreground extraction | Zendy

Hansung Kim | Zendy; Adrian Hilton | Zendy

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Region-based foreground extraction

Author(s) -

Hansung Kim,

Adrian Hilton

Publication year - 2008

Publication title -

surrey open research repository (university of surrey)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1049/cp:20081068

Subject(s) - background subtraction , computer science , artificial intelligence , image segmentation , shadow (psychology) , voting , segmentation , computer vision , graph , pattern recognition (psychology) , feature extraction , pixel , theoretical computer science , politics , political science , law , psychotherapist , psychology

We propose a region-based method to extract foreground regions from colour video sequences. The foreground region is decided by voting with scores from background subtraction to the sub-regions by graph- based segmentation. Experiments show that the proposed algorithm improves on conventional approaches especially in strong shadow regions.

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