To recognize people by their gait from a sequence of images, we have proposed a statistical approach which combined eigenspace transformation (EST) with canonical space transforma...
In this paper, we investigate the efficiency of different view angles when classifying gender with gait biometrics for the first time. A gait database is built for this purpose in...
In this paper we address the problem of energyoptimal gait generation for biped robots. Using a simpli ed robot dynamics that ignores the e ects of centripetal forces, we obtain u...
L. Roussel, Carlos Canudas de Wit, Ambarish Goswam...
Recognizing a person’s motion is intuitive for humans but represents a challenging problem in machine vision. In this paper, we present a multi-disciplinary framework for recogn...