Frontal view gait recognition with fusion of depth features from a time of flight camera

• Main Authors: Tengku Mohd Afendi, Zulcaffle, Kurugollu, F.,, Crookes, D.,, Bouridane, A.,, Farid, M.
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2018
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://ir.unimas.my/id/eprint/29615/1/Frontal.pdf; http://ir.unimas.my/id/eprint/29615/; https://www.scopus.com/record/display.uri?eid=2-s2.0-85053302219&doi=10.1109%2fTIFS.2018.2870594&origin=inward&txGid=88af31ec287a1d43b6c4a10e814d0979

Frontal view gait recognition for people identification has been carried out using single RGB, stereo RGB, Kinect 1.0, and Doppler radar. However, existing methods based on these camera technologies suffer from several problems. Therefore, we propose a four-part method for frontal view gait recognit...