Online learning and fusion of orientation appearance models for robust rigid object tracking
We present a robust framework for learning and fusing different modalities for rigid object tracking. Our method fuses data obtained from a standard visual camera and dense depth maps obtained by low-cost consumer depths cameras such as the Kinect. To combine these two completely different modalitie...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2013
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| Online Access: | https://eprints.nottingham.ac.uk/31431/ |