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AC
2003
Springer

Biometric Gait Recognition

13 years 8 months ago
Biometric Gait Recognition
Psychological studies indicate that people have a small but statistically significant ability to recognize the gaits of individuals that they know. Recently, there has been much interest in machine vision systems that can duplicate and improve upon this human ability for application to biometric identification. While gait has several attractive properties as a biometric (it is unobtrusive and can be done with simple instrumentation), there are several confounding factors such as variations due to footwear, terrain, fatigue, injury, and passage of time. This paper gives an overview of the factors that affect both human and machine recognition of gaits, data used in gait and motion analysis, evaluation methods, existing gait and quasi gait recognition systems, and uses of gait analysis beyond biometric identification. We compare the reported recognition rates as a function of sample size for several published gait recognition systems.
Jeffrey E. Boyd, James J. Little
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where AC
Authors Jeffrey E. Boyd, James J. Little
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