Analyzing and Recognizing Walking Figures in XYT

Abstract

We describe a novel algorithm for gait analysis. A person walking frontoparallel to the image plane generates a characteristic "braided" pattern in a spatiotemporal (XYT) volume. Our algorithm detects this pattern, and fits it with a set of spatiotemporal snakes. The snakes can be used to find the bounding contours of the walker. The contours vary over time in a manner characteristic of each walker. Individual gaits can be recognized by applying standard pattern recognition techniques to the contour signals.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Niyogi and Adelson. "Analyzing and Recognizing Walking Figures in XYT." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323868

Markdown

[Niyogi and Adelson. "Analyzing and Recognizing Walking Figures in XYT." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/niyogi1994cvpr-analyzing/) doi:10.1109/CVPR.1994.323868

BibTeX

@inproceedings{niyogi1994cvpr-analyzing,
  title     = {{Analyzing and Recognizing Walking Figures in XYT}},
  author    = {Niyogi, Sourabh A. and Adelson, Edward H.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {469-474},
  doi       = {10.1109/CVPR.1994.323868},
  url       = {https://mlanthology.org/cvpr/1994/niyogi1994cvpr-analyzing/}
}