Learning Probabilistic Models for Visual Motion
A fundamental goal of computer vision is the ability to analyze motion. This can range from the simple task of locating or tracking a single rigid object as it moves across an image plane, to recovering the full pose parameters of a collection of nonrigid objects interacting in a scene. The curren...
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| Format: | Others |
| Language: | en_ca |
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2008
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| Online Access: | http://hdl.handle.net/1807/17255 |