A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living
- 作者：Alexandros André ; Chaaraoui alexandros@dtic.ua.es ; Pau Climent-Pé ; rez pcliment@dtic.ua.es ; Francisco Fló ; rez-Revuelta ; florez@dtic.ua.es
- 关键词：Human behaviour ; Ambient-Assisted Living ; Computer vision ; Motion analysis ; Action recognition ; Activity recognition ; Activities of daily living (ADLs)
- 刊名：Expert Systems with Applications
- 出版年：2012
- 期刊代码：62_09574174
- 类别：et
- 出版时间：15 September, 2012
- 卷：39
- 期：12
- 页码：10873-10888
- 文件大小：1157 K
摘要
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.