Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation

Author:

Sigal Leonid,Isard Michael,Haussecker Horst,Black Michael J.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference103 articles.

1. Agarwal, A., & Triggs, B. (2006). Recovering 3D human pose from monocular images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(1), 44–58.

2. Andriluka, M., Roth, S., & Schiele, B. (2009). Pictorial structures revisited: people detection and articulated pose estimation. In IEEE Computer Society conference on computer vision and pattern recognition (CVPR).

3. Balan, A., Sigal, L., & Black, M. J. (2005). A quantitative evaluation of video-based 3D person tracking. In IEEE workshop on visual surveillance and performance evaluation of tracking and surveillance (pp. 349–356). October 2005.

4. Banerjee, A., Dhillon, I. S., Ghosh, J., & Sra, S. (2005). Clustering on the unit hypersphere using von Mises-Fisher distributions. Journal of Machine Learning Research, 6, 1345–1382.

5. Bergtholdt, M., Kappes, J., Schmidt, S., & Schnorr, C. (2010). A study of parts-based object class detection using complete graphs. International Journal of Computer Vision, 87(1–2), 93–117.

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