Is My New Tracker Really Better than Yours?
Abstract
The problem of visual tracking evaluation is sporting an abundance of performance measures, which are used by various authors, and largely suffers from lack of consensus about which measures should be preferred. This is hampering the cross-paper tracker comparison and faster advancement of the field. In this paper we provide an overview of the popular measures and performance visualizations and their critical theoretical and experimental analysis. We show that several measures are equivalent from the point of information they provide for tracker comparison and, crucially, that some are more brittle than the others. Based on our analysis we narrow down the set of potential measures to only two complementary ones that can be intuitively interpreted and visualized, thus pushing towards homogenization of the tracker evaluation methodology.
Cite
Text
Cehovin et al. "Is My New Tracker Really Better than Yours?." IEEE/CVF Winter Conference on Applications of Computer Vision, 2014. doi:10.1109/WACV.2014.6836055Markdown
[Cehovin et al. "Is My New Tracker Really Better than Yours?." IEEE/CVF Winter Conference on Applications of Computer Vision, 2014.](https://mlanthology.org/wacv/2014/cehovin2014wacv-my/) doi:10.1109/WACV.2014.6836055BibTeX
@inproceedings{cehovin2014wacv-my,
title = {{Is My New Tracker Really Better than Yours?}},
author = {Cehovin, Luka and Kristan, Matej and Leonardis, Ales},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2014},
pages = {540-547},
doi = {10.1109/WACV.2014.6836055},
url = {https://mlanthology.org/wacv/2014/cehovin2014wacv-my/}
}