A Low-Dimensional Radial Silhouette-Based Feature for Fast Human Action Recognition Fusing Multiple Views

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/47493
Información del item - Informació de l'item - Item information
Title: A Low-Dimensional Radial Silhouette-Based Feature for Fast Human Action Recognition Fusing Multiple Views
Authors: Chaaraoui, Alexandros Andre | 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: Silhouette-based feature | Vision-based human action recognition | Radial scheme
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 29-Oct-2014
Publisher: Hindawi Publishing Corporation
Citation: International Scholarly Research Notices. Volume 2014 (2014), Article ID 547069, 11 pages. doi:10.1155/2014/547069
Abstract: This paper presents a novel silhouette-based feature for vision-based human action recognition, which relies on the contour of the silhouette and a radial scheme. Its low-dimensionality and ease of extraction result in an outstanding proficiency for real-time scenarios. This feature is used in a learning algorithm that by means of model fusion of multiple camera streams builds a bag of key poses, which serves as a dictionary of known poses and allows converting the training sequences into sequences of key poses. These are used in order to perform action recognition by means of a sequence matching algorithm. Experimentation on three different datasets returns high and stable recognition rates. To the best of our knowledge, this paper presents the highest results so far on the MuHAVi-MAS dataset. Real-time suitability is given, since the method easily performs above video frequency. Therefore, the related requirements that applications as ambient-assisted living services impose are successfully fulfilled.
Sponsor: This work has been partially supported 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) and 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). Alexandros Andre Chaaraoui acknowledges financial support by the Conselleria d’Educació, Formació i Ocupació of the Generalitat Valenciana (Fellowship ACIF/2011/160).
URI: http://hdl.handle.net/10045/47493
ISSN: 2356-7872
DOI: 10.1155/2014/547069
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2014 Alexandros Andre Chaaraoui and Francisco Flórez-Revuelta. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Peer Review: si
Publisher version: http://dx.doi.org/10.1155/2014/547069
Appears in Collections:INV - DAI - Artículos de Revistas

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnail2014_Chaaraoui_Florez_ISRN.pdf3,34 MBAdobe PDFOpen Preview


This item is licensed under a Creative Commons License Creative Commons