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View Invariance for Human Action Recognition
2006
International Journal of Computer Vision
This paper presents an approach for viewpoint invariant human action recognition, an area that has received scant attention so far, relative to the overall body of work in human action recognition. It has been established previously that there exist no invariants for 3D to 2D projection. However, there exist a wealth of techniques in 2D invariance that can be used to advantage in 3D to 2D projection. We exploit these techniques and model actions in terms of view-invariant canonical body poses
doi:10.1007/s11263-005-3671-4
fatcat:p6ib5hhsynbrpckps3am27nx4m