Gesture and Action Recognition by Evolved Dynamic Subgestures

Víctor Ponce-López, Hugo Jair Escalante, Sergio Escalera and Xavier Baró

Abstract

This paper introduces a framework for gesture and action recognition based on the evolution of temporal gesture primitives, or subgestures. Our work is inspired on the principle of producing genetic variations within a population of gesture subsequences, with the goal of obtaining a set of gesture units that enhance the generalization capability of standard gesture recognition approaches. In our context, gesture primitives are evolved over time using dynamic programming and generative models in order to recognize complex actions. In few generations, the proposed subgesture-based representation of actions and gestures ourperforms the state of the art results on the MSRDaily3D and MSRAction3D datasets.

Session

Poster 2

Files

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DOI

10.5244/C.29.129
https://dx.doi.org/10.5244/C.29.129

Citation

Víctor Ponce-López, Hugo Jair Escalante, Sergio Escalera and Xavier Baró. Gesture and Action Recognition by Evolved Dynamic Subgestures. In Xianghua Xie, Mark W. Jones, and Gary K. L. Tam, editors, Proceedings of the British Machine Vision Conference (BMVC), pages 129.1-129.13. BMVA Press, September 2015.

Bibtex

@inproceedings{BMVC2015_129,
	title={Gesture and Action Recognition by Evolved Dynamic Subgestures},
	author={Víctor Ponce-López and Hugo Jair Escalante and Sergio Escalera and Xavier Baró},
	year={2015},
	month={September},
	pages={129.1-129.13},
	articleno={129},
	numpages={13},
	booktitle={Proceedings of the British Machine Vision Conference (BMVC)},
	publisher={BMVA Press},
	editor={Xianghua Xie, Mark W. Jones, and Gary K. L. Tam},
	doi={10.5244/C.29.129},
	isbn={1-901725-53-7},
	url={https://dx.doi.org/10.5244/C.29.129}
}