Abstract
This article proposes a back-projection technique for the modeling of 3-D human motion that performs camera calibration using the multiple video sequences obtained. This technique calculates an affine camera matrix by the factorization method, and performs back-projection under the affine camera model. The proposed technique needs neither a 3-D camera calibration tool nor markers for shape recovery, and can recover human motion from silhouette images. We also propose a shadow detector and eliminator using color information and normalized cross correlation for the robust extraction and elimination of shadows. Experimental results show the effectiveness of the proposed technique.
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Tan JK, Ishikawa S (2001) Deformable shape recovery by factorization based on a spatiotemporal measurement matrix. Comput Vision Image Understanding 82(2):101–109
Yamaguchi I, Tan JK, Ishikawa S (2006) A mobile motion capture technique excelling in 3-D modeling of temporary events. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp 1613–1617
Uchinoumi M, Tan JK, Ishikawa S (2004) A simple structured realtime motion capture system employing silhouette images. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp 3094–3098
Tomasi C, Kanade T (1991) Shape and motion from image streams: a factorization method. Technical Report CMU-CS-91-172, CMU
Jacques JCS Jr, Jung CR, Musse SR (2005) Background subtraction and shadow detection in grayscale video sequences. Proceedings of SIGGRAPH, pp 189–196
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This work was presented in part at the 14th International Symposium on Artificial Life and Robotics, Oita, Japan, February 5–7, 2009
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Masaoka, S., Tan, J.K., Kim, H. et al. Three-dimensional human motion modeling by back-projection based on image-based camera calibration. Artif Life Robotics 14, 515–518 (2009). https://doi.org/10.1007/s10015-009-0734-6
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DOI: https://doi.org/10.1007/s10015-009-0734-6