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A survey of human motion analysis using depth imagery

Chen, L., Wei, H. and Ferryman, J. (2013) A survey of human motion analysis using depth imagery. Pattern Recognition Letters, 34 (15). pp. 1995-2006. ISSN 0167-8655

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To link to this item DOI: 10.1016/j.patrec.2013.02.006

Abstract/Summary

Analysis of human behaviour through visual information has been a highly active research topic in the computer vision community. This was previously achieved via images from a conventional camera, but recently depth sensors have made a new type of data available. This survey starts by explaining the advantages of depth imagery, then describes the new sensors that are available to obtain it. In particular, the Microsoft Kinect has made high-resolution real-time depth cheaply available. The main published research on the use of depth imagery for analysing human activity is reviewed. Much of the existing work focuses on body part detection and pose estimation. A growing research area addresses the recognition of human actions. The publicly available datasets that include depth imagery are listed, as are the software libraries that can acquire it from a sensor. This survey concludes by summarising the current state of work on this topic, and pointing out promising future research directions.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:31463
Uncontrolled Keywords:Range data, depth sensor, survey, human pose estimation, human action recognition, 3D body model 2010 MSC: 68-02, 68T45
Publisher:Elsevier

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