Multiview gait biometrics for human identity recognition

Girija CHETTY, Prasad Yarlagadda, Vamsi Madasu, Anurag Mishra

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)

Abstract

We propose a novel multiview fusion scheme for recognizing human identity based on gait biometric data. The gait biometric data is acquired from video surveillance datasets from multiple cameras. Experiments on publicly available CASIA dataset show the potential of proposed scheme based on fusion towards development and implementation of automatic identity recognition systems.
Original languageEnglish
Title of host publication2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014
EditorsM N Hoda
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages358-363
Number of pages6
ISBN (Print)9789380544120
DOIs
Publication statusPublished - 2014
Event8th International Conference on Computing for Sustainable Global Development, INDIACom 2014 - New Delhi, New Delhi, India
Duration: 5 Mar 20147 Mar 2014

Publication series

Name2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014

Conference

Conference8th International Conference on Computing for Sustainable Global Development, INDIACom 2014
CountryIndia
CityNew Delhi
Period5/03/147/03/14

Fingerprint

Biometrics
Fusion reactions
Cameras
Experiments

Cite this

CHETTY, G., Yarlagadda, P., Madasu, V., & Mishra, A. (2014). Multiview gait biometrics for human identity recognition. In M. N. Hoda (Ed.), 2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014 (pp. 358-363). (2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014). USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IndiaCom.2014.6828159
CHETTY, Girija ; Yarlagadda, Prasad ; Madasu, Vamsi ; Mishra, Anurag. / Multiview gait biometrics for human identity recognition. 2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014. editor / M N Hoda. USA : IEEE, Institute of Electrical and Electronics Engineers, 2014. pp. 358-363 (2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014).
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title = "Multiview gait biometrics for human identity recognition",
abstract = "We propose a novel multiview fusion scheme for recognizing human identity based on gait biometric data. The gait biometric data is acquired from video surveillance datasets from multiple cameras. Experiments on publicly available CASIA dataset show the potential of proposed scheme based on fusion towards development and implementation of automatic identity recognition systems.",
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CHETTY, G, Yarlagadda, P, Madasu, V & Mishra, A 2014, Multiview gait biometrics for human identity recognition. in MN Hoda (ed.), 2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014. 2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 358-363, 8th International Conference on Computing for Sustainable Global Development, INDIACom 2014, New Delhi, India, 5/03/14. https://doi.org/10.1109/IndiaCom.2014.6828159

Multiview gait biometrics for human identity recognition. / CHETTY, Girija; Yarlagadda, Prasad; Madasu, Vamsi; Mishra, Anurag.

2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014. ed. / M N Hoda. USA : IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 358-363 (2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014).

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Multiview gait biometrics for human identity recognition

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AU - Yarlagadda, Prasad

AU - Madasu, Vamsi

AU - Mishra, Anurag

PY - 2014

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N2 - We propose a novel multiview fusion scheme for recognizing human identity based on gait biometric data. The gait biometric data is acquired from video surveillance datasets from multiple cameras. Experiments on publicly available CASIA dataset show the potential of proposed scheme based on fusion towards development and implementation of automatic identity recognition systems.

AB - We propose a novel multiview fusion scheme for recognizing human identity based on gait biometric data. The gait biometric data is acquired from video surveillance datasets from multiple cameras. Experiments on publicly available CASIA dataset show the potential of proposed scheme based on fusion towards development and implementation of automatic identity recognition systems.

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M3 - Conference contribution

SN - 9789380544120

T3 - 2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014

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BT - 2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014

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CHETTY G, Yarlagadda P, Madasu V, Mishra A. Multiview gait biometrics for human identity recognition. In Hoda MN, editor, 2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014. USA: IEEE, Institute of Electrical and Electronics Engineers. 2014. p. 358-363. (2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014). https://doi.org/10.1109/IndiaCom.2014.6828159