Robust foreground extraction technique using background subtraction with multiple thresholds

We propose a robust method to extract silhouettes of foreground objects from color-video sequences. To cope with various changes in the background, we model the background as a Laplace distribution and update it with a selective running average and static pixel observation. All pixels in the input v...

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Bibliographic Details
Published in:Optical Engineering 2007-09, Vol.46 (9), p.097004-0970012
Main Authors: Kim, Hansung, Sakamoto, Ryuuki, Kitahara, Itaru, Toriyama, Tomoji, Kogure, Kiyoshi
Format: Article
Language:English
Subjects:
background subtraction
Boundaries
Color
foreground segmentation
Pixels
Running
Shadows
silhouette extraction
Subtraction
Thresholds
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Summary:We propose a robust method to extract silhouettes of foreground objects from color-video sequences. To cope with various changes in the background, we model the background as a Laplace distribution and update it with a selective running average and static pixel observation. All pixels in the input video image are classified into four initial regions using background subtraction with multiple thresholds. Shadow regions are eliminated using color components, and the final foreground silhouette is extracted by smoothing the boundaries of the foreground and eliminating errors inside and outside of the regions. Experimental results show that the proposed algorithm works very well in various background and foreground situations.
ISSN:0091-3286
1560-2303
DOI:10.1117/1.2779022