Can gait biometrics be spoofed?
Can gait biometrics be spoofed?
Gait recognition is a relatively new biometrics and no effort has yet been devoted to studying spoofing attacks against video-based gait recognition systems. Spoofing occurs when a person tries to imitate the clothing and/or walking style of someone else in order to gain illegitimate access and advantages. To gain insight into the performance of current gait biometric systems when confronted to spoofing attacks, we provide in this paper the first investigation in the research literature on how clothing can be used to spoof a target and evaluate the performance of two state-of-the-art recognition methods on a novel gait spoofing database recorded at the University of Southampton. The experiments point out very interesting findings that can be used as a reference for future investigations by the research community.
Hadid, Abdenour
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Bustard, John
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Nixon, Mark S.
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November 2012
Hadid, Abdenour
aae1595f-98bd-457b-9e1c-fad340301ffc
Bustard, John
8fa23e3b-8594-4c87-81c4-a77e774c8c0b
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Hadid, Abdenour, Bustard, John and Nixon, Mark S.
(2012)
Can gait biometrics be spoofed?
21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan.
11 - 15 Nov 2012.
4 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Gait recognition is a relatively new biometrics and no effort has yet been devoted to studying spoofing attacks against video-based gait recognition systems. Spoofing occurs when a person tries to imitate the clothing and/or walking style of someone else in order to gain illegitimate access and advantages. To gain insight into the performance of current gait biometric systems when confronted to spoofing attacks, we provide in this paper the first investigation in the research literature on how clothing can be used to spoof a target and evaluate the performance of two state-of-the-art recognition methods on a novel gait spoofing database recorded at the University of Southampton. The experiments point out very interesting findings that can be used as a reference for future investigations by the research community.
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Published date: November 2012
Venue - Dates:
21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, 2012-11-11 - 2012-11-15
Organisations:
Vision, Learning and Control
Identifiers
Local EPrints ID: 363314
URI: http://eprints.soton.ac.uk/id/eprint/363314
PURE UUID: c0867de0-bfa2-4ebe-852f-5d846b7ad58c
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Date deposited: 20 Mar 2014 16:48
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Abdenour Hadid
Author:
John Bustard
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