Estimation of 3D motion trajectory and velocity from monocular image sequences in the context of human gait recognition

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.