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Model based full body human motion reconstruction from video data
2013
Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications - MIRAGE '13
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This paper introduces a novel framework for full body human motion reconstruction from 2D video data using a motion capture database as knowledge base containing information on how people move. By extracting suitable twodimensional features from both, the input video sequence and the motion capture database, we are able to employ an efficient retrieval technique to run a data-driven optimization. Only little preprocessing is needed by our method, the reconstruction process runs close to real
doi:10.1145/2466715.2466722
dblp:conf/mirage/YasinK013
fatcat:2tqsb7jnhrf7nhcyibdiz4ynsi