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Conference papers
Simultaneous learning of motion and appearance
Abstract : A new learning method for motion estimation of objects with significantly varying appearance is proposed. Varying object appearance is represented by a low dimensional space of appearance parameters. The appearance mapping and motion estimation method are optimized simultaneously. Appearance parameters are estimated by unsupervised learning. The method is experimentally verified by a tracking application on sequences which exhibit strong variable illumination, non-rigid deformations and self-occlusions.
Cited literature [12 references]
https://hal.inria.fr/inria-00326712
Contributor : Peter Sturm <>
Submitted on : Sunday, October 5, 2008 - 12:23:12 PM
Last modification on : Tuesday, January 19, 2021 - 10:16:02 AM
Long-term archiving on: : Monday, October 8, 2012 - 1:56:12 PM
Contributor : Peter Sturm <>
Submitted on : Sunday, October 5, 2008 - 12:23:12 PM
Last modification on : Tuesday, January 19, 2021 - 10:16:02 AM
Long-term archiving on: : Monday, October 8, 2012 - 1:56:12 PM
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mlvma08_submission_28.pdf
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