Vision-based Recognition of Human Behaviour for Intelligent Environments

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Títol: Vision-based Recognition of Human Behaviour for Intelligent Environments
Autors: Chaaraoui, Alexandros Andre
Director de la investigació: Flórez Revuelta, Francisco
Centre, Departament o Servei: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Paraules clau: Human behaviour analysis | Human action recognition | Information fusion | Computer vision | Evolutionary algorithms
Àrees de coneixement: Arquitectura y Tecnología de Computadores
Data de creació: 2014
Data de publicació: 2014
Data de lectura: 20-de gener-2014
Editor: Universidad de Alicante
Resum: A critical requirement for achieving ubiquity of artificial intelligence is to provide intelligent environments with the ability to recognize and understand human behaviour. If this is achieved, proactive interaction can occur and, more interestingly, a great variety of services can be developed. In this thesis we aim to support the development of ambient-assisted living services with advances in human behaviour analysis. Specifically, visual data analysis is considered in order to detect and understand human activity at home. As part of an intelligent monitoring system, single- and multi-view recognition of human actions is performed, along several optimizations and extensions. The present work may pave the way for more advanced human behaviour analysis techniques, such as the recognition of activities of daily living, personal routines and abnormal behaviour detection.
URI: http://hdl.handle.net/10045/36395
Idioma: eng
Tipus: info:eu-repo/semantics/doctoralThesis
Apareix a la col·lecció: Tesis doctorals

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