Evolutionary joint selection to improve human action recognition with RGB-D devices

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/33751
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Title: Evolutionary joint selection to improve human action recognition with RGB-D devices
Authors: Chaaraoui, Alexandros Andre | Padilla López, José Ramón | Climent Pérez, Pau | Flórez-Revuelta, Francisco
Research Group/s: Informática Industrial y Redes de Computadores | Domótica y Ambientes Inteligentes
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: RGB-D devices | Human action recognition | Evolutionary computation | Instance selection | Feature subset selection
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 15-Feb-2014
Publisher: Elsevier
Citation: Expert Systems with Applications. 2014, 41(3): 786-794. doi:10.1016/j.eswa.2013.08.009
Abstract: Interest in RGB-D devices is increasing due to their low price and the wide range of possible applications that come along. These devices provide a marker-less body pose estimation by means of skeletal data consisting of 3D positions of body joints. These can be further used for pose, gesture or action recognition. In this work, an evolutionary algorithm is used to determine the optimal subset of skeleton joints, taking into account the topological structure of the skeleton, in order to improve the final success rate. The proposed method has been validated using a state-of-the-art RGB action recognition approach, and applying it to the MSR-Action3D dataset. Results show that the proposed algorithm is able to significantly improve the initial recognition rate and to yield similar or better success rates than the state-of-the-art methods.
Sponsor: This work has been partially supported by the European Commission under project “caring4U – A study on people activity in private spaces: towards a multisensor network that meets privacy requirements” (PIEF-GA-2010-274649) and by the Spanish Ministry of Science and Innovation under project “Sistema de visión para la monitorización de la actividad de la vida diaria en el hogar” (TIN2010-20510-C04-02). Alexandros Andre Chaaraoui and José Ramón Padilla-López acknowledge financial support by the Conselleria d’Educació, Formació i Ocupació of the Generalitat Valenciana (fellowships ACIF/2011/160 and ACIF/2012/064 respectively).
URI: http://hdl.handle.net/10045/33751
ISSN: 0957-4174 (Print) | 1873-6793 (Online)
DOI: 10.1016/j.eswa.2013.08.009
Language: eng
Type: info:eu-repo/semantics/article
Peer Review: si
Publisher version: http://dx.doi.org/10.1016/j.eswa.2013.08.009
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