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Robust techniques for background subtraction in urban traffic video
2004
Visual Communications and Image Processing 2004
Identifying moving objects from a video sequence is a fundamental and critical task in many computer-vision applications. A common approach is to perform background subtraction, which identifies moving objects from the portion of a video frame that differs significantly from a background model. There are many challenges in developing a good background subtraction algorithm. First, it must be robust against changes in illumination. Second, it should avoid detecting non-stationary background
doi:10.1117/12.526886
dblp:conf/vcip/CheungK04
fatcat:ehmqx5jdcrczxam25lp4eturua