Foreground and shadow detection for video surveillance

Authors:
Suwoo Park;Jooseop Yun;Sehyun Park;Yongtae Do
Affiliations:
GIVET, Gyeongsan-City, Gyeongbuk, South Korea;GIVET, Gyeongsan-City, Gyeongbuk, South Korea;Daegu University, Gyeongsan-City, Gyeongbuk, South Korea;Daegu University, Gyeongsan-City, Gyeongbuk, South Korea
Venue:
ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision
Year:
2009

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Abstract

In automatic visual surveillance, moving target extraction and shadow depression are prerequisites for higher level image processing steps such as target tracking and scene understanding. In this paper, we present effective techniques to detect pixels of moving targets in a scene and pixels of their shadows. The foreground is extracted by adaptive background subtraction. Incomplete detection problem, which often occurs due to color or occlusion, is solved by blob merging. Shadow pixels are detected by comparing the color values of foreground pixels with those of corresponding background pixels using either a color transition model or a neural network. Techniques proposed showed high shadow detection rates in experiments with real images.