Human identification from human movements

Authors:
Nikolaos Gkalelis;Anastasios Tefas;Ioannis Pitas
Affiliations:
Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece and Department of Informatics, Aristotle University of Thessaloniki, Greece;Department of Informatics, Aristotle University of Thessaloniki, Greece;Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece and Department of Informatics, Aristotle University of Thessaloniki, Greece
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

In this paper a multi-modal method for human identification that exploits the discrimination power of several movement types performed from the same human is proposed. Utilizing a fuzzy vector quantization (FVQ) and linear discriminant analysis (LDA) based algorithm, an unknown movement is first classified, and, then, the person performing the movement is recognized from a movement specific person classifier. In case that the unknown person performs more than one movements, a multi-modal algorithm combines the results of the individual classifiers to yield the final decision for the id of the unknown human. Using a publicly available database, we provide promising results regarding the discrimination power of the different movements for the human identification task, as well as we indicate that the combination of the individual classifiers may increase the robustness of the human recognition algorithm.