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 [e-mail] 1 

• Type: Conference
• Year: 1998
• Where: ICCV
• Authors: Yaser Yacoob, Michael J. Black
• Keywords: Computer Vision, Deformable Object Motion, Exemplar Activities, ICCV 1998, Image Motion Parameters, Modeled Activities, Yaser Yacoob Computer