Human Recognition Based on Gait Poses
نویسندگان
چکیده
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.
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