Vision-based Recognition of Human Behaviour for Intelligent Environments

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dc.contributor.advisorFlórez Revuelta, Francisco-
dc.contributor.authorChaaraoui, Alexandros Andre-
dc.contributor.otherUniversidad de Alicante. Departamento de Tecnología Informática y Computaciónes
dc.description.abstractA 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
dc.publisherUniversidad de Alicantees
dc.subjectHuman behaviour analysises
dc.subjectHuman action recognitiones
dc.subjectInformation fusiones
dc.subjectComputer visiones
dc.subjectEvolutionary algorithmses
dc.subject.otherArquitectura y Tecnología de Computadoreses
dc.titleVision-based Recognition of Human Behaviour for Intelligent Environmentses
Appears in Collections: Doctoral theses

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