Color-based tracking of heads and other mobile objects at video frame rates

TitleColor-based tracking of heads and other mobile objects at video frame rates
Publication TypeConference Paper
Year of Publication1997
AuthorsFieguth, P., and D. Terzopoulos
Conference Name1997 Conference on Computer Vision and Pattern Recognition
Conference LocationPuerto Rico
ISBN Number0-8186-7822-4
Abstract

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 full frame size (640 x 480 pixels) and video frame rate (30 fps). Robustness with respect to occlusion is achieved via an explicit hypothesis-tree model of the occlusion process. We demonstrate the efficacy of our technique in the challenging task of tracking people, especially tracking human heads and hands.