Estimation of 3D Motion Trajectory and Velocity from Monocular Image Sequences in the Context of Human Gait Recognition

  • Authors:
  • Michael Hild

  • Affiliations:
  • Osaka Electro-Communication University, Japan

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
  • Year:
  • 2004

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Abstract

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.