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

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/spl times/480 pixels) an...

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Bibliographic Details
Published inProceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 21 - 27
Main Authors Fieguth, P., Terzopoulos, D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1997
Subjects
Bandwidth
Design engineering
Graphics
Humans
Magnetic heads
Robustness
Silicon
Surveillance
Systems engineering and theory
Video compression
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Summary: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/spl times/480 pixels) and video frame rate (30 fps). Robustness with respect to occlusion is achieved via can 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.
ISBN:9780818678226
0818678224
ISSN:1063-6919
DOI:10.1109/CVPR.1997.609292