Automatic video object segmentation and shadow detection for surveillance applications
Hao Yang, Like Zhang, Heng‐Ming Tai, Chia-Jiu Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
This paper presents an object-based adaptive background update algorithm that is suitable for video surveillance in the dynamically changing environment. The background model is updated using information from not only the pixel change but also the currently detected object. The proposed method is able to deal with such problems as ghost and uncovered background. In addition, a shadow detection scheme is proposed to eliminate the shadow effect. Experimental results for three video sequences with different background situations are given to demonstrate the effectiveness of the proposed algorithm.