Real-time tracking of multiple occluding objects using level sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth ordering of the objects being tracked in the scene. The method uses the observed image data to compute a posterior over the o...
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Published in | 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 1307 - 1314 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2010
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Subjects | |
Online Access | Get full text |
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