National Technical Reports Library

The National Technical Information Service acquires, indexes, abstracts, and archives the largest collection of U.S. government-sponsored technical reports in existence. The NTRL offers online, free and open access to these authenticated government technical reports. Technical reports and documents in its repository may be available online for free either from the issuing federal agency, the U.S. Government Publishing Office’s Federal Digital System website, or through search engines.

Details

Recognition Using Gait.

DE2008922087

Publication Date	2007
Personal Author	Koch, M. W.
Page Count	14
Abstract	Gait or an individuals 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.
Keywords	Walking Computer imaging Psychophysics Pattern recognition Video data Algorithms Shapes Motions Graphics Identification Unique signatures Gait recognition Dynamic time warping
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Sandia Labs., Albuquerque, NM.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200813
Contract Number	AC04-94AL85000

Recognition Using Gait.

Recognition Using Gait.
DE2008922087

Publication Date	2007
Personal Author	Koch, M. W.
Page Count	14
Abstract	Gait or an individuals 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.
Keywords	Walking Computer imaging Psychophysics Pattern recognition Video data Algorithms Shapes Motions Graphics Identification Unique signatures Gait recognition Dynamic time warping
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Sandia Labs., Albuquerque, NM.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200813
Contract Number	AC04-94AL85000