View-Invariant Action Recognition from Point Triplets
- 20 February 2009
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Ieee Transactions On Pattern Analysis and Machine Intelligence
- Vol. 31 (10), 1898-1905
- https://doi.org/10.1109/tpami.2009.41
Abstract
We propose a new view-invariant measure for action recognition. For this purpose, we introduce the idea that the motion of an articulated body can be decomposed into rigid motions of planes defined by triplets of body points. Using the fact that the homography induced by the motion of a triplet of body points in two identical pose transitions reduces to the special case of a homology, we use the equality of two of its eigenvalues as a measure of the similarity of the pose transitions between two subjects, observed by different perspective cameras and from different viewpoints. Experimental results show that our method can accurately identify human pose transitions and actions even when they include dynamic timeline maps, and are obtained from totally different viewpoints with different unknown camera parameters.Keywords
This publication has 34 references indexed in Scilit:
- A survey of advances in vision-based human motion capture and analysisComputer Vision and Image Understanding, 2006
- Matching actions in presence of camera motionComputer Vision and Image Understanding, 2006
- Recent developments in human motion analysisPattern Recognition, 2002
- Multiview constraints on homographiesIeee Transactions On Pattern Analysis and Machine Intelligence, 2002
- Estimating the Fundamental Matrix by Transforming Image Points in Projective SpaceComputer Vision and Image Understanding, 2001
- A Survey of Computer Vision-Based Human Motion CaptureComputer Vision and Image Understanding, 2001
- The recognition of human movement using temporal templatesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
- Human Motion Analysis: A ReviewComputer Vision and Image Understanding, 1999
- The Visual Analysis of Human Movement: A SurveyComputer Vision and Image Understanding, 1999
- Visual perception of biological motion and a model for its analysisPerception & Psychophysics, 1973