A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living

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.

► Reviewed taxonomies vary widely. This leads to difficult classification of works.
► Different degrees of semantics are given to different levels of abstraction.
► From motion, to action, activities and behaviour: works can be easily classified.
► Behaviour is the highest level, where living styles are analysed on the long run.
► A review on available datasets and useful research tools is provided.