Gradual Sampling and Mutual Information Maximisation for Markerless Motion Capture
The major issue in markerless motion capture is finding the global optimum from the multimodal setting where distinctive gestures may have similar likelihood values. Instead of only focusing on effective searching as many existing works, our approach resolves gesture ambiguity by designing a better-behaved observation likelihood. We extend Annealed Particle Filtering by a novel gradual sampling scheme that allows evaluations to concentrate on large mismatches of the tracking subject. Noticing...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of ACCV 2010|
|01_Lu_Gradual_Sampling_and_Mutual_2010.pdf||2.05 MB||Adobe PDF|
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