Can gait biometrics be Spoofed?

Abdenour Hadid*, Mohammad Ghahramani, Vili Kellokumpu, Matti Pietikainen, John Bustard, Mark Nixon

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
Pages3280-3283
Number of pages4
Publication statusPublished - 01 Dec 2012
Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
Duration: 11 Nov 201215 Nov 2012

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

Conference21st International Conference on Pattern Recognition, ICPR 2012
CountryJapan
CityTsukuba
Period11/11/201215/11/2012

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Biometrics
Experiments

Cite this

Hadid, A., Ghahramani, M., Kellokumpu, V., Pietikainen, M., Bustard, J., & Nixon, M. (2012). Can gait biometrics be Spoofed? In ICPR 2012 - 21st International Conference on Pattern Recognition (pp. 3280-3283). [6460865] (Proceedings - International Conference on Pattern Recognition).
Hadid, Abdenour ; Ghahramani, Mohammad ; Kellokumpu, Vili ; Pietikainen, Matti ; Bustard, John ; Nixon, Mark. / Can gait biometrics be Spoofed?. ICPR 2012 - 21st International Conference on Pattern Recognition. 2012. pp. 3280-3283 (Proceedings - International Conference on Pattern Recognition).
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title = "Can gait biometrics be Spoofed?",
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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Hadid, A, Ghahramani, M, Kellokumpu, V, Pietikainen, M, Bustard, J & Nixon, M 2012, Can gait biometrics be Spoofed? in ICPR 2012 - 21st International Conference on Pattern Recognition., 6460865, Proceedings - International Conference on Pattern Recognition, pp. 3280-3283, 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, 11/11/2012.

Can gait biometrics be Spoofed? / Hadid, Abdenour; Ghahramani, Mohammad; Kellokumpu, Vili; Pietikainen, Matti; Bustard, John; Nixon, Mark.

ICPR 2012 - 21st International Conference on Pattern Recognition. 2012. p. 3280-3283 6460865 (Proceedings - International Conference on Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Hadid A, Ghahramani M, Kellokumpu V, Pietikainen M, Bustard J, Nixon M. Can gait biometrics be Spoofed? In ICPR 2012 - 21st International Conference on Pattern Recognition. 2012. p. 3280-3283. 6460865. (Proceedings - International Conference on Pattern Recognition).