Continuous Human Action Recognition in Ambient Assisted Living Scenarios

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Títol: Continuous Human Action Recognition in Ambient Assisted Living Scenarios
Autors: Chaaraoui, Alexandros Andre | Flórez-Revuelta, Francisco
Grups d'investigació o GITE: Informática Industrial y Redes de Computadores | Domótica y Ambientes Inteligentes
Centre, Departament o Servei: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Paraules clau: Ambient assisted living | Human action recognition | Continous recognition | Action zones | Real time
Àrees de coneixement: Arquitectura y Tecnología de Computadores
Data de creació: 2014
Data de publicació: 24-de setembre-2014
Resum: Ambient assisted living technologies and services make it possible to help elderly and impaired people and increase their personal autonomy. Specifically, vision-based approaches enable the recognition of human behaviour, which in turn allows to build valuable services upon. However, a main constraint is that these have to be able to work online and in real time. In this work, a human action recognition method based on a bag-of-key-poses model and sequence alignment is extended to support continuous human action recognition. The detection of action zones is proposed to locate the most discriminative segments of an action. For the recognition, a method based on a sliding and growing window approach is presented. Furthermore, an evaluation scheme particularly designed for ambient assisted living scenarios is introduced. Experimental results on two publicly available datasets are provided. These show that the proposed action zones lead to a significant improvement and allow real-time processing.
Descripció: Paper submitted to the International Workshop on Enhanced Living Environments (ELEMENT-2014), Wuerzburg, Germany, 24 September 2014.
Idioma: eng
Tipus: info:eu-repo/semantics/conferenceObject
Drets: Licencia Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0
Revisió científica: si
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