Multiview gait biometrics for human identity recognition
| Contribuinte(s) |
Hoda, M. |
|---|---|
| Data(s) |
2014
|
| Resumo |
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. |
| Identificador | |
| Publicador |
IEEE |
| Relação |
DOI:10.1109/IndiaCom.2014.6828159 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. |
| Fonte |
School of Chemistry, Physics & Mechanical Engineering; Science & Engineering Faculty |
| Tipo |
Conference Paper |
