Journal
IMAGE AND VISION COMPUTING
Volume 30, Issue 12, Pages 1004-1015Publisher
ELSEVIER
DOI: 10.1016/j.imavis.2012.08.017
Keywords
Background subtraction; EM; Eigenbackground; Illumination changes
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Fast robust background subtraction under sudden lighting changes is a challenging problem in many applications. In this paper, we propose a real-time approach, which combines the Eigenbackground and Statistical Illumination method to address this issue. The first algorithm is used to reconstruct the background frame, while the latter improves the foreground segmentation. In addition, we introduce an online spatial likelihood model by detecting reliable background pixels. Extensive quantitative experiments illustrate our approach consistently achieves significantly higher precision at high recall rates, compared to several state-of-the-art illumination invariant background subtraction methods. (C) 2012 Elsevier B.V. All rights reserved.
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