An Efficient Approach for Computer Vision Based Human Motion Capture

Author:

Yong-sheng Wang

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Cerveri, P., Pedotti, A., Ferrigno, G.: Robust recovery of human motion from video using Kalman filters and virtual humans. Human Movement Science 22, 377–404 (2003)

2. Kirk, A., O’Brien, J., Forsyth, D.: Skeletal parameter estimation from optical motion capture data. In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 782–788 (2005)

3. Deutscher, J., Reid, I.: Articulated body motion capture by stochastic search. International Journal of Computer Vision 61(2), 185–205 (2005)

4. Mitchelson, J., Hilton, A.: Simultaneous pose estimation of multiple people using multiple-view cues with hierarchical sampling. In: Proceedings of British Machine Vision Conference (2003)

5. Cheung, G., Kanade, T., Bouguet, J., Holler, M.: A real time system for robust 3D voxel reconstruction of human motions. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 714–720 (2000)

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