Journal
COMPUTER VISION AND IMAGE UNDERSTANDING
Volume 122, Issue -, Pages 4-21Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.cviu.2013.12.005
Keywords
Background subtraction; Motion detection; Foreground segmentation
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Background subtraction (BS) is a crucial step in many computer vision systems, as it is first applied to detect moving objects within a video stream. Many algorithms have been designed to segment the foreground objects from the background of a sequence. In this article, we propose to use the BMC (Background Models Challenge) dataset, and to compare the 29 methods implemented in the BGSLibrary. From this large set of various BG methods, we have conducted a relevant experimental analysis to evaluate both their robustness and their practical performance in terms of processor/memory requirements. (C) 2013 Elsevier Inc. All rights reserved.
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