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Gesture and Action Recognition by Evolved Dynamic Subgestures

Ponce-López, Víctor; Escalante, Hugo Jair; Escalera, Sergio; Baró, Xavier; (2015) Gesture and Action Recognition by Evolved Dynamic Subgestures. In: Proceedings of the British Machine Vision Conference 2015. (pp. 129.1-129.13). BMVA Press: Swansea, UK. Green open access

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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 outperforms the state of the art results on the MSRDaily3D and MSRAction3D datasets.

Type: Proceedings paper
Title: Gesture and Action Recognition by Evolved Dynamic Subgestures
Event: British Machine Vision Conference 2015
ISBN: 1-901725-53-7
Open access status: An open access version is available from UCL Discovery
DOI: 10.5244/c.29.129
Publisher version: https://dblp.org/rec/conf/bmvc/Ponce-LopezEEB15.ht...
Additional information: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10114950
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