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The Effect of Time on the Performance of Gait Biometrics

Record type: Conference or Workshop Item (Other)

Many studies have shown that it is possible to recognize people by the way they walk. However, there are a number of covariate factors that affect recognition performance. The time between capturing the gallery and the probe has been reported to affect recognition the most. To date, no study has shown the isolated effect of time, irrespective of other covariates. Here we present the first principled study that examines the effect of elapsed time on gait recognition. Using empirical evidence we have shown for the first time that elapsed time does not affect recognition significantly in the short to medium term. By controlling clothing, a Correct Classification Rate (CCR) of 95% has been achieved over 9 months, on a dataset of nearly 2000 gait sequences/samples. We have created a new multimodal temporal database to enable the research community to investigate various gait and face covariates in a formal manner. Our results show that gait can be used as a reliable biometric over time and at a distance. We have demonstrated that clothing drastically affects performance regardless of elapsed time. A move towards developing appearance invariant recognition algorithms is essential.

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Citation

Matovski, Darko, Nixon, Mark, Mahmoodi, Sasan and Carter, John (2010) The Effect of Time on the Performance of Gait Biometrics At IEEE Fourth Conference on Biometrics: Theory, Applications and Systems, United States.

More information

Published date: September 2010
Additional Information: Event Dates: September
Venue - Dates: IEEE Fourth Conference on Biometrics: Theory, Applications and Systems, United States, 2010-09-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271506
URI: http://eprints.soton.ac.uk/id/eprint/271506
PURE UUID: 1ca46608-0989-4c4b-9dc2-eba1f86632ad

Catalogue record

Date deposited: 01 Sep 2010 11:38
Last modified: 18 Jul 2017 06:42

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Contributors

Author: Darko Matovski
Author: Mark Nixon
Author: Sasan Mahmoodi
Author: John Carter

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