Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates
نویسندگان
چکیده
We develop a simple and very fast method for object tracking based exclusively on color information in digitized video images. Running on a Silicon Graphics R4600 Indy system with an IndyCam, our algorithm is capable of simultaneously tracking objects at f i l l frame size (640 x 480 pixels) and video frame rate (30 hs). Robustness with respect to occlusion is achieved via an explicit hypothesis-tree model of the occlusion process. We demonstrate the eficacy of our technique in the challenging task of tracking people, especially tracking human heads and hands.
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تاریخ انتشار 1997