Title
A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living
Abstract
Human Behaviour Analysis (HBA) is more and more being of interest for computer vision and artificial intelligence researchers. Its main application areas, like Video Surveillance and Ambient-Assisted Living (AAL), have been in great demand in recent years. This paper provides a review on HBA for AAL and ageing in place purposes focusing specially on vision techniques. First, a clearly defined taxonomy is presented in order to classify the reviewed works, which are consequently presented following a bottom-up abstraction and complexity order. At the motion level, pose and gaze estimation as well as basic human movement recognition are covered. Next, the mainly used action and activity recognition approaches are presented with examples of recent research works. Increasing the degree of semantics and the time interval involved in the HBA, finally the behaviour level is reached. Furthermore, useful tools and datasets are analysed in order to provide help for initiating projects.
Year
DOI
Venue
2012
10.1016/j.eswa.2012.03.005
Expert Syst. Appl.
Keywords
Field
DocType
motion level,basic human movement recognition,activity recognition approach,computer vision,vision technique,complexity order,recent year,behaviour level,human behaviour analysis,recent research work,activity recognition,human behaviour
Abstraction,Activity recognition,Gaze,Computer science,Action recognition,Human–computer interaction,Movement recognition,Artificial intelligence,Motion analysis,Machine learning,Semantics
Journal
Volume
Issue
ISSN
39
12
0957-4174
Citations 
PageRank 
References 
71
1.72
100
Authors
3
Name
Order
Citations
PageRank
Alexandros André Chaaraoui133812.13
Pau Climent-Pérez22187.59
Francisco Flórez-revuelta348134.95