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
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;
Conference_Titel :
Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on
Conference_Location :
Steamboat Springs, CO
DOI :
10.1109/WACV.2014.6836055