Model-based hand tracking using a hierarchical Bayesian filter
This paper sets out a tracking framework, which is applied to the recovery of three-dimensional hand motion from an image sequence. The method handles the issues of initialization, tracking, and recovery in a unified way. In a single input image with no prior information of the hand pose, the algori...
| Автори: | , , , |
|---|---|
| Формат: | Journal article |
| Мова: | English |
| Опубліковано: |
IEEE
2006
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