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What Image Information Is Important in Silhouette-Based Gait Recognition?

Galina V. Veres, Layla Gordon, John N. Carter, Mark S. Nixon
CVPR 2004 pp. 776-782
doi:10.1109/CVPR.2004.271 /cvpr/2004/veres2004cvpr-image/

Abstract

Gait recognition has recently gained significant attention, especially in vision-based automated human identification at a distance in visual surveillance and monitoring applications. Silhouette-based gait recognition is one of the most popular methods for recognising moving shapes. This paper aims to investigate the important features in silhouette-based gait recognition from point of view of statistical analysis. It is shown that the average silhouette includes a static component of gait (head and body) as the most important image part, while dynamic component of gait (swings of legs and arms) is ignored as the least important information. At the same time ignoring dynamic part of gait can result in loss in recognition rate in some cases, and the importance of better motion estimation is underlined.

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Cite

Text

Veres et al. "What Image Information Is Important in Silhouette-Based Gait Recognition?." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.271

Markdown

[Veres et al. "What Image Information Is Important in Silhouette-Based Gait Recognition?." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/veres2004cvpr-image/) doi:10.1109/CVPR.2004.271

BibTeX

@inproceedings{veres2004cvpr-image,
  title     = {{What Image Information Is Important in Silhouette-Based Gait Recognition?}},
  author    = {Veres, Galina V. and Gordon, Layla and Carter, John N. and Nixon, Mark S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {776-782},
  doi       = {10.1109/CVPR.2004.271},
  url       = {https://mlanthology.org/cvpr/2004/veres2004cvpr-image/}
}