SIDENBLADH, H., BLACK, M. J., AND SIGAL, L. 2002. Implicit probabilistic models of human motion for synthesis and tracking. In Proc. ECCV, LNCS 2353, vol. 1, 784--800. Home/Search Document Details and Download
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....shall be stated, which are most closely related to our approach. Chu et al. [Chu 03] aim at reconstructing human motion by capturing human volumes from multiple images without any underlying model. This approach seems to be limited to poses, which can be recognised unambiguously. Sidenbladh et al. [Sidenbladh 92] address the problem of 3d human motion tracking by representing 3d human motion with a large database of example motions. A probabilistic approach using a PCA based dimensional reduction solves the problem of efficient search in a large training set. Lee et al. [Lee 02] use an articulated human ....
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H. Sidenbladh, M. J. Black, and L. Sigal. Implicit probabilistic models of human motion for synthesis and tracking. In A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, editors, Proceedings European Conference on Computer Vision ECCV, volume 1 of Lecture Notes in Computer Science 2353, pages 784--800. Springer-Verlag, 2002.
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....distribution can be written as P( I (10) where z is a constant independent of b, p(flqb) is the likelihood of f given qb, and p(qb) the prior distribution over qb. Here we do not address 28 the prior distribution; for examples of generic and event specific priors, the reader is referred to [28, 39, 38]. 4.1.1. Combining Responses at Different Pixels Pixels in the image belong either to the background or the foreground (person) The body pose parameters, q determine x f , the set of image locations corresponding to the foreground. Let the set of back ground pixels be xb = x xf , where ....
Sidenbladh, H., M. J. Black, and L. Sigal: 2002, 'Implicit Probabilistic Models of Human Motion for Synthesis and Tracking'. In: European Conference on Computer Vision, ECCV. Copenhagen.
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SIDENBLADH, H., BLACK, M. J., AND SIGAL, L. 2002. Implicit probabilistic models of human motion for synthesis and tracking. In Proc. ECCV, LNCS 2353, vol. 1, 784--800.
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