Algorithms for Gait-Based Human Identification from a Monocular Video Sequence

Human gait is a spatio-temporal phenomenon that characterizes the motion characteristics of an individual. It is possible to detect and measure gait even in low-resolution video. This makes it an attractive modality in surveillance applications, where it is often difficult to get face or iris information at high enough resolution for recognition applications. Psychophysical studies indicate that humans have the capability for recognizing people from even impoverished displays of gait, indicating the presence of identity information. From early medical studies it appears that there are twenty four different components to human gait, and that if all the measurements are considered, gait is unique. It is interesting, therefore, to study the utility of gait as a biometric. The goal of this thesis is to investigate the information contained in the video sequences of human gait and how to extract and exploit that information in ways that facilitate human identification. In our work, we pre…

Author: Kale, Amit A

Source: University of Maryland

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