Abstract

Moving shadow elimination is an important step in many applications of computer vision such as tracking, surveillance system, traffic monitoring etc. In this paper, a new method which combining two color spaces (HSV and YCbCr) with background modelling will be proposed to detect and remove cast shadow .The proposed shadow detection and removal method is implemented in indoor and outdoor with humans, vehicles, and motorcycles moving objects in different times and environments including various weather and lighting conditions, such as periods of sun, sunset, rainy, noisy ,and darkness and different light sources. The results shows that the proposed system gives a high performance measures as compared with another shadow detection methods and its able to cope with different environments

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The article was added to IASJ on 2014-01-22

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