Vision-based human motion analysis: An overview

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Vision-based human motion analysis: An overview
Markerless vision-based human motion analysis has the potential to provide an inexpensive, non-obtrusive solution for the estimation of body poses. The significant research effort in this domain has been motivated by the fact that many application areas, including surveillance, Human–Computer Interaction and automatic annotation, will benefit from a robust solution. In this paper, we discuss the characteristics of human motion analysis. We divide the analysis into a modeling and an estimation phase. Modeling is the construction of the likelihood function, estimation is concerned with finding the most likely pose given the likelihood surface. We discuss model-free approaches separately. This taxonomy allows us to highlight trends in the domain and to point out limitations of the current state of the art. Ó 2007 Elsevier Inc. All rights reserved.
Ronald Poppe
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2007
Where CVIU
Authors Ronald Poppe
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