DocumentCode
2678357
Title
Parameterized modeling and recognition of activities
Author
Yacoob, Yaser ; Black, Michael J.
Author_Institution
Comput. Vision Lab., Maryland Univ., College Park, MD, USA
fYear
1998
fDate
4-7 Jan 1998
Firstpage
120
Lastpage
127
Abstract
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
Keywords
image sequences; motion estimation; activities recognition; admissible transformations; articulated object motion; deformable object motion; exemplar activities; image motion parameters; parameterized modeling; recognition; spatio-temporal variants; Cameras; Computer vision; Foot; Humans; Image recognition; Image sequences; Laboratories; Principal component analysis; Thigh; Torso;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 1998. Sixth International Conference on
Conference_Location
Bombay
Print_ISBN
81-7319-221-9
Type
conf
DOI
10.1109/ICCV.1998.710709
Filename
710709
Link To Document