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Conference Paper

Efficient ConvNet-based Marker-less Motion Capture in General Scenes with a Low Number of Cameras

MPS-Authors
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Elhayek,  Ahmed
Computer Graphics, MPI for Informatics, Max Planck Society;

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de Aguiar,  Edilson
Computer Graphics, MPI for Informatics, Max Planck Society;

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Jain,  Arjun
Computer Graphics, MPI for Informatics, Max Planck Society;

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Pishchulin,  Leonid
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

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Andriluka,  Mykhaylo
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

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Schiele,  Bernt       
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

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Theobalt,  Christian       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Elhayek, A., de Aguiar, E., Tompson, J., Jain, A., Pishchulin, L., Andriluka, M., et al. (2015). Efficient ConvNet-based Marker-less Motion Capture in General Scenes with a Low Number of Cameras. In IEEE Conference on Computer Vision and Pattern Recognition (pp. 3810-3818). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2015.7299005.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0025-01B7-F
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