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Title: Recognition using gait.

Abstract

Gait or an individual's manner of walking, is one approach for recognizing people at a distance. Studies in psychophysics and medicine indicate that humans can recognize people by their gait and have found twenty-four different components to gait that taken together make it a unique signature. Besides not requiring close sensor contact, gait also does not necessarily require a cooperative subject. Using video data of people walking in different scenarios and environmental conditions we develop and test an algorithm that uses shape and motion to identify people from their gait. The algorithm uses dynamic time warping to match stored templates against an unknown sequence of silhouettes extracted from a person walking. While results under similar constraints and conditions are very good, the algorithm quickly degrades with varying conditions such as surface and clothing.

Authors:
Publication Date:
Research Org.:
Sandia National Laboratories
Sponsoring Org.:
USDOE
OSTI Identifier:
922087
Report Number(s):
SAND2007-6215
TRN: US200806%%52
DOE Contract Number:
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; LEGS; MOTION; PATTERN RECOGNITION; ALGORITHMS; SHAPE; PERFORMANCE; Identification.; Computer Imaging, Vision, Pattern Recognition and Graphics; Pattern recognition.

Citation Formats

Koch, Mark William. Recognition using gait.. United States: N. p., 2007. Web. doi:10.2172/922087.
Koch, Mark William. Recognition using gait.. United States. doi:10.2172/922087.
Koch, Mark William. Sat . "Recognition using gait.". United States. doi:10.2172/922087. https://www.osti.gov/servlets/purl/922087.
@article{osti_922087,
title = {Recognition using gait.},
author = {Koch, Mark William},
abstractNote = {Gait or an individual's manner of walking, is one approach for recognizing people at a distance. Studies in psychophysics and medicine indicate that humans can recognize people by their gait and have found twenty-four different components to gait that taken together make it a unique signature. Besides not requiring close sensor contact, gait also does not necessarily require a cooperative subject. Using video data of people walking in different scenarios and environmental conditions we develop and test an algorithm that uses shape and motion to identify people from their gait. The algorithm uses dynamic time warping to match stored templates against an unknown sequence of silhouettes extracted from a person walking. While results under similar constraints and conditions are very good, the algorithm quickly degrades with varying conditions such as surface and clothing.},
doi = {10.2172/922087},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Sep 01 00:00:00 EDT 2007},
month = {Sat Sep 01 00:00:00 EDT 2007}
}

Technical Report:

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