DocumentCode
157942
Title
Is my new tracker really better than yours?
Author
Cehovin, Luka ; Kristan, Matej ; Leonardis, Ale
Author_Institution
Fac. of Comput. & Inf. Sci., Univ. of Ljubljana, Ljubljana, Slovenia
fYear
2014
fDate
24-26 March 2014
Firstpage
540
Lastpage
547
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.
Keywords
computer vision; object tracking; cross-paper tracker comparison; performance measures; performance visualizations; tracker evaluation methodology; visual tracking evaluation problem; Accuracy; Length measurement; Measurement uncertainty; Performance evaluation; Target tracking; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on
Conference_Location
Steamboat Springs, CO
Type
conf
DOI
10.1109/WACV.2014.6836055
Filename
6836055
Link To Document