Parameterized modeling and recognition of activities

1998

Conference Paper

ps

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.

@inproceedings{Yacoob:ICCV:1998,
  title = {Parameterized modeling and recognition of activities},
  author = {Yacoob, Y. and Black, M. J.},
  booktitle = {Sixth International Conf. on Computer Vision, ICCV'98},
  pages = {120-127},
  address = {Mumbai, India},
  month = jan,
  year = {1998},
  month_numeric = {1}
}