Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Applications of a simple characterization of human gait in surveillance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
A new method for human gait recognition using temporal analysis
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
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We describe spatio-temporal symmetry and its extraction via a Generalised Symmetry Operator. Its use in gait recognition is reinforced by the view from psychology that human gait is a symmetrical pattern of motion. We show that by including temporal information in our symmetry calculations we are not recognizing people by their body shape but also by their motion. Here, the new technique is applied to a database of 28 subjects, which equals in size the largest contemporaneous gait databases. The results of the new approach agree with earlier results that the symmetrical properties of human gait appear to be unique and can indeed be used for analysis and for recognition. The results achieved so far give promising performance and higher recognition rates than those of an earlier spatial approach. Performance analyses suggest that symmetry enjoys practical advantages such as ability to handle noise and occlusion, and especially when resolution is too low for other biometrics to be deployed.