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">></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.1994.323868Markdown
[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.1994.323868BibTeX
@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/}
}