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30 October 2009 Human body motion tracking based on quantum-inspired immune cloning algorithm
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Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 749605 (2009) https://doi.org/10.1117/12.832473
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
In a static monocular camera system, to gain a perfect 3D human body posture is a great challenge for Computer Vision technology now. This paper presented human postures recognition from video sequences using the Quantum-Inspired Immune Cloning Algorithm (QICA). The algorithm included three parts. Firstly, prior knowledge of human beings was used, the key joint points of human could be detected automatically from the human contours and skeletons which could be thinning from the contours; And due to the complexity of human movement, a forecasting mechanism of occlusion joint points was addressed to get optimum 2D key joint points of human body; And then pose estimation recovered by optimizing between the 2D projection of 3D human key joint points and 2D detection key joint points using QICA, which recovered the movement of human body perfectly, because this algorithm could acquire not only the global optimal solution, but the local optimal solution.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hong Han, Lichuan Yue, and Licheng Jiao "Human body motion tracking based on quantum-inspired immune cloning algorithm", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 749605 (30 October 2009); https://doi.org/10.1117/12.832473
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