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recognizing moving objects from a video stream considered to be 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. This paper compares various background subtraction algorithms for detecting a single object. The work considers approaches varying from simple techniques such as static method and framefatcat:vc7p6eu25jgk5ostpfto6ucdd4