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Cardboard people: A parameterized model of articulated motion

1996

Conference Paper

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We extend the work of Black and Yacoob on the tracking and recognition of human facial expressions using parameterized models of optical flow to deal with the articulated motion of human limbs. We define a "cardboard person model" in which a person's limbs are represented by a set of connected planar patches. The parameterized image motion of these patches is constrained to enforce articulated motion and is solved for directly using a robust estimation technique. The recovered motion parameters provide a rich and concise description of the activity that can be used for recognition. We propose a method for performing view-based recognition of human activities from the optical flow parameters that extends previous methods to cope with the cyclical nature of human motion. We illustrate the method with examples of tracking human legs over long image sequences.

Author(s): Ju, S. X. and Black, M. J. and Yacoob, Y.
Book Title: 2nd Int. Conf. on Automatic Face- and Gesture-Recognition
Pages: 38-44
Year: 1996
Month: October

Department(s): Perceiving Systems
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

Address: Killington, Vermont

Links: pdf

BibTex

@inproceedings{Black:ICAFGR:1996,
  title = {Cardboard people: A parameterized model of articulated motion},
  author = {Ju, S. X. and Black, M. J. and Yacoob, Y.},
  booktitle = {2nd Int. Conf. on Automatic Face- and Gesture-Recognition},
  pages = {38-44},
  address = {Killington, Vermont},
  month = oct,
  year = {1996},
  month_numeric = {10}
}