3D Human Motion Tracking Based on Single Video Input and Particle Filtering
碩士 === 國立中正大學 === 電機工程所 === 97 === This study uses monocular video sequence as input for the tracking of humans’ 3D motion pose, enabling accurate estimation of 3D motion parameters. Our method adopts silhouette, edge, and color features for matching the input images with the projected 3D human mode...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/50924743055631440780 |