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17th International Conference on Pattern Recognition (ICPR'04) - Volume 4
Estimation of 3D Motion Trajectory and Velocity from Monocular Image Sequences in the Context of Human Gait Recognition
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Michael Hild, Osaka Electro-Communication University, Japan
We propose a simple method for human gait recognition from monocular color image sequences which recovers the approximate 3D motion trajectory. We provide concrete evidence that object-to-image height ratios can be used for estimating 3D motion trajectories and motion velocities with sufficient accuracy for making judgments about the states of motion. We also introduce a method for estimating the leg frequency of a walking person.
Citation:
Michael Hild, "Estimation of 3D Motion Trajectory and Velocity from Monocular Image Sequences in the Context of Human Gait Recognition," icpr, vol. 4, pp.231-235, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 4, 2004
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