Vision-based Recognition of Human Behaviour for Intelligent Environments

Please use this identifier to cite or link to this item:
Información del item - Informació de l'item - Item information
Title: Vision-based Recognition of Human Behaviour for Intelligent Environments
Authors: Chaaraoui, Alexandros Andre
Research Director: Flórez Revuelta, Francisco
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Human behaviour analysis | Human action recognition | Information fusion | Computer vision | Evolutionary algorithms
Knowledge Area: Arquitectura y Tecnología de Computadores
Date Created: 2014
Issue Date: 2014
Date of defense: 20-Jan-2014
Publisher: Universidad de Alicante
Abstract: 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.
Language: eng
Type: info:eu-repo/semantics/doctoralThesis
Appears in Collections: Doctoral theses

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnailtesis_alexandros_andre_chaaraoui.pdf21,78 MBAdobe PDFOpen Preview

This item is licensed under a Creative Commons License Creative Commons