Silhouette-based human identification from body shape and gait

Robert T. Collins, Ralph Gross, Jianbo Shi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

377 Scopus citations

Abstract

Our goal is to establish a simple baseline method for human identification based on body shape and gait. This baseline recognition method provides a lower bound against which to evaluate more complicated procedures. We present a viewpoint-dependent technique based on template matching of body silhouettes. Cyclic gait analysis is performed to extract key frames from a test sequence. These frames are compared to training frames using normalized correlation, and subject classification is performed by nearest-neighbor matching among correlation scores. The approach implicitly captures biometric shape cues such as body height, width, and body-part proportions, as well as gait cues such as stride length and amount of arm swing. We evaluate the method on four databases with varying viewing angles, background conditions (indoors and outdoors), walking styles and pixels on target.

Original languageEnglish (US)
Title of host publicationProceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002
PublisherIEEE Computer Society
Pages366-371
Number of pages6
ISBN (Print)0769516025, 9780769516028
DOIs
StatePublished - 2002
Event5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002 - Washington, DC, United States
Duration: May 20 2002May 21 2002

Publication series

NameProceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002

Other

Other5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002
CountryUnited States
CityWashington, DC
Period5/20/025/21/02

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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