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Modelling of Single Mode Distributions of Colour Data Using Directional Statistics

Daniel C. Alexander, Bernard F. Buxton
CVPR 1997 pp. 319-324
doi:10.1109/CVPR.1997.609342 /cvpr/1997/alexander1997cvpr-modelling/

Abstract

Three different statistical models of colour data for use in segmentation or tracking algorithms are proposed. The results of a performance comparison of a tracking algorithm, applied to two separate applications, using each of the three different types of underlying model of the data are presented. From these a comparison of the performance of the statistical colour models themselves is obtained.

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Text

Alexander and Buxton. "Modelling of Single Mode Distributions of Colour Data Using Directional Statistics." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609342

Markdown

[Alexander and Buxton. "Modelling of Single Mode Distributions of Colour Data Using Directional Statistics." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/alexander1997cvpr-modelling/) doi:10.1109/CVPR.1997.609342

BibTeX

@inproceedings{alexander1997cvpr-modelling,
  title     = {{Modelling of Single Mode Distributions of Colour Data Using Directional Statistics}},
  author    = {Alexander, Daniel C. and Buxton, Bernard F.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {319-324},
  doi       = {10.1109/CVPR.1997.609342},
  url       = {https://mlanthology.org/cvpr/1997/alexander1997cvpr-modelling/}
}