View-independent person identification from human gait

@article{Zhang2005ViewindependentPI,
  title={View-independent person identification from human gait},
  author={Zonghua Zhang and Nikolaus F. Troje},
  journal={Neurocomputing},
  year={2005},
  volume={69},
  pages={250-256}
}
CA) Based on a three-dimensional (3D) linear model and the Bayesian rule, a method is e to identify human walkers from two-dimensional (2D) motion sequences taken from d viewpoints. Principal component analysis constructs the 3D linear model from a set of represented examples. The sets of coefficients derived from projecting 2D motion se onto the 3D model by means of a maximum a posterior estimate is used as a signatu walker. Simulating an identification experiment on a set of walking data we… CONTINUE READING
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