Gait s advantages are that it requires no subject contact, like automatic face recognition, and that it is less likely to be obscured than other biometrics. Gait has allied subjects including medical studies, psychology, human body modelling and motion tracking. These lend support to the view that gait has clear potential as a biometric. Essentially, we require to use computer vision techniques to derive a gait signature from a sequence of images.
Early results confirm that there is a rich potential in gait for recognition.
We need further evaluation on larger, more disparate, databases and that is ongoing work. As such, this seminar will concentrate on the background to gait as a biometric as well as on the emerging approaches to recognition by gait. His research interests are in image processing and computer vision. As well as writing papers and books about vision, he chaired the 9th British Machine Vision Conference BMVC'98 held at Southampton.