We describe a new method for Automatic GaitRecognition based around the use of wavelet descriptors that model the periodic deformation of human gait. Wavelet descriptors have been used successfully to model the boundary of static or moving, rigid-bodied objects, but many objects actually deform in some way as they move. Here, we use wavelet descriptors to model not only the object's boundary, but also the spatio-temporal deformations under which the object's boundary is subjected. We applied this new method to the Large Gait Database, compiled at the University of South Florida (NIST/USF) and found that the wavelet descriptors obtained for each person appear to be unique and can be used for recognition. Successful recognition rates of over 94% were obtained from the Large Gait Database.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.