Low operational amount silhouette extraction and its application to video understanding based on statistical processing

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The research project is to establish an only 10% operation amount sight/vision function, compared to the conventional one, in order to give the sight capability to robots as well as mobile terminal, because these applications should be powered by battery cells. Thesight/vision fundamental function is based on the extraction of silhouette of person in a scene. This fundamental function is composed of the clear separation of foreground objects, followed by the elimination of shadows from the foreground objects; both of the functions require tremendous operations in the conventional approach. In order to achieve the target performance, new modification of Multi-scale Reinex and a novel shadow assumption have been employed. The resulted silhouette has also been applied to walk identification trial and shows the effectiveness. In order to show the possibility of battery support applications, foreground segmentation processor has been developed: the result of power dissipation is 150mW for FPGA, equivalently 30mW for ASIC design.