Accurate Scale Estimation for Robust Visual Tracking
In Proceedings British Machine Vision Conference 2014
http://dx.doi.org/10.5244/C.28.65
Abstract
Robust scale estimation is a challenging problem in visual object tracking. Most existing methods fail to handle large scale variations in complex image sequences. This paper presents a novel approach for robust scale estimation in a tracking-by-detection framework. Experiments are performed on 28 benchmark sequences with significant scale variations. Our results clearly suggests that the proposed approach significantly outperforms state-of-the-art methods in literature.
Session
Poster Session
Files
Extended Abstract (PDF, 1 page, 779K)Paper (PDF, 11 pages, 2.4M)
Bibtex File
Citation
Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, and Michael Felsberg. Accurate Scale Estimation for Robust Visual Tracking. Proceedings of the British Machine Vision Conference. BMVA Press, September 2014.
BibTex
@inproceedings{BMVC.28.65
title = {Accurate Scale Estimation for Robust Visual Tracking},
author = {Danelljan, Martin and Häger, Gustav and Shahbaz Khan, Fahad and Felsberg, Michael},
year = {2014},
booktitle = {Proceedings of the British Machine Vision Conference},
publisher = {BMVA Press},
editors = {Valstar, Michel and French, Andrew and Pridmore, Tony}
doi = { http://dx.doi.org/10.5244/C.28.65 }
}