@inproceedings{59a119b9565f40e89c073ff21a1ba25e,
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.",
keywords = "Multimodal gait, fusion, identification",
author = "Girija CHETTY and Prasad Yarlagadda and Vamsi Madasu and Anurag Mishra",
year = "2014",
doi = "10.1109/IndiaCom.2014.6828159",
language = "English",
isbn = "9789380544120",
series = "2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "358--363",
editor = "Hoda, {M N}",
booktitle = "2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014",
address = "United States",
note = "8th International Conference on Computing for Sustainable Global Development, INDIACom 2014 ; Conference date: 05-03-2014 Through 07-03-2014",
}