An Effective Shadow Elimination Method Using Adaptive Parameters Update
Byeoung-Su Kim, Gwang-Gook Lee, Ja-Young Yoon, Jae-Jun Kim, Whoi-Yul Kim · Journal of the Institute of Electronics Engineers of Korea · 2008
Background subtraction, which separates moving objects in video sequences, is an essential technology for object recognition and tracking. However, background subtraction methods are often confused by shadow regions and this misclassification of shadow regions disturbs further processes to perceive the shapes or exact positions of moving objects. This paper proposes a method for shadow elimination which is based on shadow modeling by color information and Bayesian classification framework. Also, because of dynamic update of modeling parametres, the proposed method is able to correspond adaptively to illumination changes. Experimental results proved that the proposed method can eliminate shadow regions effectively even for circumstances with varying lighting condition.