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Memory Based Human Region Detection

Background subtraction is widely used for detecting moving objects; however, color similarity between a background and a moving object is still an important problem. In this paper, we present an exemplar based approach to efficiently detect walking persons that are similar in color to the background. Exemplar database is constructed from couples of degraded and complete human silhouette patterns; the missing parts in an input image obtained by background subtraction are detected by using degraded patterns in the database, and then are compensated by using complete patterns in the database. In our approach, the relationship between the degraded pattern and the complete human silhouette patterns is formulated and compensation of degraded area is performed by optimization in a block-based manner. The experimental results and evaluations of our system are demonstrated.