@inproceedings{21a6366a5f994a08b4254a1207f465cb,
title = "A framework for human recognition using a multimodel Gait analysis approach",
abstract = "Gait analysis applications are not only limited to medical, rehabilitation and sports, but it can also play a decisive role in security and surveillance as a behavioral biometric factor. Gait recognition is non-invasive and doesn't need any cooperation from subject in case of video surveillance. This paper presents a framework for human recognition based on gait without using markers or sensors using multimodel approach. The experiment presented in this paper was initially performed on 10 subjects, whose data were recorded at Raman Lab, MNIT Jaipur. In order to cross validate our approach, we have also used a standard gait database CASIA B.",
keywords = "Biometrics, Feature extraction, Gait analysis, Silhouetter based techniques",
author = "Chandra Prakash and Anshul Mittal and Shubam Tripathi and Rajesh Kumar and Namita Mittal",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Computing, Communication and Automation, ICCCA 2016 ; Conference date: 29-04-2016 Through 30-04-2016",
year = "2017",
month = jan,
day = "10",
doi = "10.1109/CCAA.2016.7813743",
language = "English",
series = "Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "348--353",
editor = "Abhishek Swaroop and Manjeet Singh and Astya, {Parma Nand} and Vishnu Sharma",
booktitle = "Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2016",
address = "United States",
}