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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Published in | Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 21 - 27 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
1997
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Subjects | |
Online Access | Get full text |
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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. |
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ISBN: | 9780818678226 0818678224 |
ISSN: | 1063-6919 |
DOI: | 10.1109/CVPR.1997.609292 |