A Three-Way AutoCorrelation Based Approach to Human Identification by Gait

@inproceedings{Kobayashi2006ATA,
  title={A Three-Way AutoCorrelation Based Approach to Human Identification by Gait},
  author={Takumi Kobayashi and Nobuyuki Otsu},
  year={2006}
}
We propose a scheme for gait recognition using cubic higher-order local auto-correlation (CHLAC), discriminant analysis, and k-NN decision rules. CHLAC is based on three-way (x-, y-, and time-dimensional) auto-correlations of pixels in motion images, and it effectively extracts motion features. The method has several properties preferable for recognition: shift-invariance (rendering the method segmentation-free) and robustness to noise in data. Moreover, the method is so general as to use… CONTINUE READING

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