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Authors: Lifang Chen 1 ; Nico van der Aa 1 ; Robby T. Tan 2 and Remco C. Veltkamp 2

Affiliations: 1 Utrecht University and Noldus Information Technology, Netherlands ; 2 Utrecht University, Netherlands

ISBN: 978-989-758-004-8

Keyword(s): Action Recognition, (Max-Margin) Hidden Conditional Random Fields, Part Labels Method.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction

Abstract: In the field of action recognition, the design of features has been explored extensively, but the choice of action classification methods is limited. Commonly used classification methods like k-Nearest Neighbors and Support Vector Machines assume conditional independency between features. In contrast, Hidden Conditional Random Fields (HCRFs) include the spatial or temporal dependencies of features to be better suited for rich, overlapping features. In this paper, we investigate the performance of HCRF and Max-Margin HCRF and their baseline versions, the root model and Multi-class SVM, respectively, for action recognition on the Weizmann dataset. We introduce the Part Labels method, which uses explicitly the part labels learned by HCRF as a new set of local features. We show that only modelling spatial structures in 2D space is not sufficient to justify the additional complexity of HCRF, MMHCRF or the Part Labels method for action recognition.

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Paper citation in several formats:
Chen, L.; van der Aa, N.; T. Tan, R. and C. Veltkamp, R. (2014). Hidden Conditional Random Fields for Action Recognition.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 240-247. DOI: 10.5220/0004652902400247

@conference{visapp14,
author={Lifang Chen. and Nico van der Aa. and Robby T. Tan. and Remco C. Veltkamp.},
title={Hidden Conditional Random Fields for Action Recognition},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={240-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004652902400247},
isbn={978-989-758-004-8},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Hidden Conditional Random Fields for Action Recognition
SN - 978-989-758-004-8
AU - Chen, L.
AU - van der Aa, N.
AU - T. Tan, R.
AU - C. Veltkamp, R.
PY - 2014
SP - 240
EP - 247
DO - 10.5220/0004652902400247

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