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 :
بازگشت