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Proceedings Paper

A two-stage scheme for multi-view human pose estimation
Author(s): Junchi Yan; Bing Sun; Yuncai Liu
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Paper Abstract

We present a two-stage scheme integrating voxel reconstruction and human motion tacking. By combining voxel reconstruction with human motion tracking interactively, our method can work in a cluttered background where perfect foreground silhouettes are hardly available. For each frame, a silhouette-based 3D volume reconstruction method and hierarchical tracking algorithm are applied in two stages. In the first stage, coarse reconstruction and tracking results are obtained, and then the refinement for reconstruction is applied in the second stage. The experimental results demonstrate our approach is promising. Although our method focuses on the problem of human body voxel reconstruction and motion tracking in this paper, our scheme can be used to reconstruct voxel data and infer the pose of many specified rigid and articulated objects.

Paper Details

Date Published: 19 August 2010
PDF: 8 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200X (19 August 2010); doi: 10.1117/12.867526
Show Author Affiliations
Junchi Yan, Shanghai Jiao Tong Univ. (China)
Bing Sun, Shanghai Jiao Tong Univ. (China)
Yuncai Liu, Shanghai Jiao Tong Univ. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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