DocumentCode
150234
Title
Multiview gait biometrics for human identity recognition
Author
Chetty, Girija ; Yarlagadda, Pradeep Krishna ; Madasu, Vamsi ; Mishra, Anadi
Author_Institution
Univ. of Canberra, Canberra, ACT, Australia
fYear
2014
fDate
5-7 March 2014
Firstpage
358
Lastpage
363
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
biometrics (access control); image fusion; image motion analysis; object recognition; video surveillance; CASIA dataset; automatic identity recognition systems; cameras; gait biometric data; human identity recognition; multiview fusion scheme; multiview gait biometrics; video surveillance datasets; Accuracy; Biometrics (access control); Feature extraction; Kernel; Legged locomotion; Principal component analysis; Support vector machines; Multimodal gait; fusion; identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing for Sustainable Global Development (INDIACom), 2014 International Conference on
Conference_Location
New Delhi
Print_ISBN
978-93-80544-10-6
Type
conf
DOI
10.1109/IndiaCom.2014.6828159
Filename
6828159
Link To Document