Finding Waldo, or Focus of Attention Using Local Color Information
Abstract
A method is presented to locate an object in a color image, or more precisely, to select a set of likely locations for the object. The model is assumed to be of known color, which permits the use of color-space processing. A new method is presented, which exploits more information than the previous backprojection algorithm of Swain and Ballard at a competitive complexity. The new algorithm is based on matching local histograms with the model, instead of directly replacing pixels with a confidence that they belong to the object. It is proved that a simple version of this algorithm degenerates into backprojection in the worst case. The authors show how to estimate the scale of the model. The use of co-occurrence histograms is proposed to deal with cases where important color variations can be expected.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Ennesser and Medioni. "Finding Waldo, or Focus of Attention Using Local Color Information." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341016Markdown
[Ennesser and Medioni. "Finding Waldo, or Focus of Attention Using Local Color Information." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/ennesser1993cvpr-finding/) doi:10.1109/CVPR.1993.341016BibTeX
@inproceedings{ennesser1993cvpr-finding,
title = {{Finding Waldo, or Focus of Attention Using Local Color Information}},
author = {Ennesser, François and Medioni, Gérard G.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1993},
pages = {711-712},
doi = {10.1109/CVPR.1993.341016},
url = {https://mlanthology.org/cvpr/1993/ennesser1993cvpr-finding/}
}