Multiview gait biometrics for human identity recognition

Chetty, Girija, Yarlagadda, Prasad, Madasuv, Vamsi, & Mishra, Anurag (2014) Multiview gait biometrics for human identity recognition. In Hoda, M. (Ed.) Proceedings of 2014 International Conference on Computing for Sustainable Global Development (INDIACom 2014), IEEE, New Delhi, India, pp. 358-363.

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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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ID Code: 88577
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1109/IndiaCom.2014.6828159
ISBN: 9789380544106
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 20 Oct 2015 05:31
Last Modified: 20 Oct 2015 05:31

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