A two-stage scheme for multi-view human pose estimation

Junchi Yan; Bing Sun; Yuncai Liu

doi:10.1117/12.867526

19 August 2010 A two-stage scheme for multi-view human pose estimation

Junchi Yan, Bing Sun, Yuncai Liu

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78200X (2010) https://doi.org/10.1117/12.867526
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

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.

Citation Download Citation

Junchi Yan, Bing Sun, and Yuncai Liu "A two-stage scheme for multi-view human pose estimation", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200X (19 August 2010); https://doi.org/10.1117/12.867526

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