Human recognition based on gait poses

Authors:
Raúl Martín-Félez;Ramón A. Mollineda;J. Salvador Sánchez
Affiliations:
Institute of New Imaging Technologies and Dept. Llenguatges i Sistemes Informàtics, Universitat Jaume, Castelló de la Plana, Spain;Institute of New Imaging Technologies and Dept. Llenguatges i Sistemes Informàtics, Universitat Jaume, Castelló de la Plana, Spain;Institute of New Imaging Technologies and Dept. Llenguatges i Sistemes Informàtics, Universitat Jaume, Castelló de la Plana, Spain
Venue:
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Year:
2011

Citing 7
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Abstract

This paper introduces a new approach for gait analysis based on the Gait Energy Image (GEI). The main idea is to segment the gait cycle into some biomechanical poses, and to compute a particular GEI for each pose. Pose-based GEIs can better represent body parts and dynamics descriptors with respect to the usually blurred depiction provided by a general GEI. Gait classification is carried out by fusing separated posebased decisions. Experiments on human identification prove the benefits of this new approach when compared to the original GEI method.