Efficient Non-linear Markov Models for Human Motion

Lehrmann, Andreas; Gehler, Peter; Nowozin, Sebastian

doi:10.1109/CVPR.2014.171

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Efficient Non-linear Markov Models for Human Motion

Lehrmann, A., Gehler, P., & Nowozin, S. (2014). Efficient Non-linear Markov Models for Human Motion. In 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014) (pp. 1314-1321). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2014.171.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-C7D7-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-D469-1

Genre: Conference Paper

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Creators:
Lehrmann, Andreas¹, Author
Gehler, Peter¹, Author
Nowozin, Sebastian², Author

Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647

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Free keywords: Abt. Black; Abt. Schölkopf

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Language(s): eng - English

Dates: Published Online: 2014-09-25Date issued: 2014

Publication Status: Issued

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Identifiers: BibTex Citekey: lehrmann14motion
DOI: 10.1109/CVPR.2014.171

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Title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014)

Place of Event: Columbus, OH

Start-/End Date: 2014-06-23 - 2014-06-28

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Title: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014)

Source Genre: Proceedings

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Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1314 - 1321 Identifier: ISBN: 978-1-4799-5118-5
ISBN: 978-1-4799-5119-2
ISBN: 978-1-4799-5117-8
ISSN: 1063-6919
DOI: 10.1109/CVPR20399.2014