David Tolliver and Robert T. Collins,
"Gait Shape Estimation for Identification,"
to appear, 4th Int'l Conf on Audio and Video-Based 
Biometric Person Authentication, Univ Surrey, Guildford, UK, 
June 9-11, 2003, pp.734-742.


A method is presented for identifying individuals by shape, given a sequence of noisy silhouettes segmented from video. A spectral partitioning framework is used to cluster similar poses and automatically extract gait shapes. The method uses a variance-weighted similarity metric to induce clusters that cover disparate stages in the gait cycle. This technique is applied to the HumanId Gait Challence dataset to measure the quality of the shape model, and the efficacy of shape statistics in human identification.

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