Abstract
Vision-based techniques to estimate 3D human pose from single camera are important in many applications like entertainment and games industries, sports science, gait analysis and video surveillance. While de-facto optical-based motion capture system is highly accurate in estimating 3D human pose, vision-based techniques offer better alternative because the latter are far cheaper and non-intrusive. In this paper, we review recent significant advances made in singlecamera 3D human pose estimation techniques. We discuss about challenges faced, typical image observations used, ways to address the challenges and highlighting limitations in state-ofthe-art. We conclude this paper with speculation of future research directions as well as open research problems.
Original language | English |
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Title of host publication | International Conference for Technical Postgraduates 2009, TECHPOS 2009 |
DOIs | |
Publication status | Published - 2009 |
Externally published | Yes |
Event | International Conference for Technical Postgraduates 2009 - Kuala Lumpur, Malaysia Duration: 14 Dec 2009 → 15 Dec 2009 https://ieeexplore.ieee.org/xpl/conhome/5403229/proceeding (Proceedings) |
Conference
Conference | International Conference for Technical Postgraduates 2009 |
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Abbreviated title | TECHPOS 2009 |
Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 14/12/09 → 15/12/09 |
Internet address |