Plan-view Trajectory Estimation with Dense Stereo Background Models
In a known environment, objects may be tracked in multiple views using a set of back-ground models. Stereo-based models can be illumination-invariant, but often have undefined values which inevitably lead to foreground classification errors. We derive dense stereo models for object tracking using lo...
Main Authors: | , , , |
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Language: | en_US |
Published: |
2004
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Online Access: | http://hdl.handle.net/1721.1/6075 |