A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living
By Alexandros André Chaaraoui, Pau Climent-Pérez, Francisco Flórez-Revuelta. 2012
218 citations recorded by the source corpus.
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.
Subfields: Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Fei Han
- William A. Hoff
- Brian Reily
- Hao Zhang
- Antonio Fernández-Caballero
- José Ramón Padilla-López
- Francisco Flórez-Revuelta
- Dima Damen
Citations in the corpus
- Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, background): “Several earlier surveys were also published to review methods to recognize human poses, motions, gestures, and activities [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], as well as their applications [49], [50].”
- A survey of video datasets for human action and activity recognition (2013, background): “Thus, fall detection is a task where computer vision provides new and promising solutions such as the development of new health-care systems to help elderly people staying at home in a secure environment [37].”
- (2014). Online quality assessment of human movement from skeleton data . Paper presented at British Machine Vision Conference, (2014, background): “The analysis of human movement through visual information has attracted huge interest due to applications in several areas, from assessment of pathologies, rehabilitation, to movement optimisation in sport [2].”
- A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context (2014, background): “Specifically, in ambient-assisted living (AAL), advanced support and care applications can be developed relying on vision-based technology [1,2].”