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ICCV
1998
IEEE

Parameterized Modeling and Recognition of Activities

14 years 5 months ago
Parameterized Modeling and Recognition of Activities
A framework for modeling and recognition of temporal activities is proposed. The modeling of sets of exemplar activities is achieved by parameterizing their representation in the form of principal components. Recognition of spatio-temporal variants of modeled activities is achieved by parameterizing the search in the space of admissible transformations that the activities can undergo. Experiments on recognition of articulated and deformable object motion from image motion parameters are presented. Contact Yaser Yacoob Computer Vision Laboratory University of Maryland College Park, MD 20742 yaser@umiacs.umd.edu 1
Yaser Yacoob, Michael J. Black
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 1998
Where ICCV
Authors Yaser Yacoob, Michael J. Black
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