Sciweavers

Share
FGR
2008
IEEE

Complex human motion estimation using visibility

8 years 8 months ago
Complex human motion estimation using visibility
This paper presents a novel algorithm for estimating complex human motion from 3D video. We base our algorithm on a model-based approach which uses a complete surface mesh of a 3D human model to be matched with 3D video data. This type of method usually works well against partly incomplete input data. However, it fails to estimate what we call “complex motion”: where some parts of the body touch each other for a long period. It is because the touching deteriorates the visibility of the neighbouring surface, which causes matching failures. In order to solve this problem, we introduce a “visibility” measure for each mesh vertex that represents how it is occluded or missed on the observed surface. Using the “visibility” we selectively suppress the outliers caused by low observability while traditional surface matching algorithms try to find corresponding area for the entire surface and cannot converge to the real posture by definition. Our algorithm shows improvements over ...
Tomoyuki Mukasa, Arata Miyamoto, Shohei Nobuhara,
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where FGR
Authors Tomoyuki Mukasa, Arata Miyamoto, Shohei Nobuhara, Atsuto Maki, Takashi Matsuyama
Comments (0)
books