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

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  • 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). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IndiaCom.2014.6828159