A modular toolkit for visual tracking performance evaluation

Čehovin Zajc, Luka (author)

We present a modular software package for conducting single-target visual object tracking experiments and analyzing results. Our software supports many of the common usage patterns in visual tracking evaluation out of the box, but is also modular and allows various extensions. Users are able to integrate existing implementations of visual tracking algorithms with little additional effort using a standardized and flexible communication protocol. The software has been the technical backbone of the VOT Challenge initiative for many years and has grown and evolved with the competitions that it supported. We present its current state and the capabilities of the package and conclude with some plans for future development.

• Language: English
• Keywords: computer vision, visual tracking, performance evaluation, experiment result analysis
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FRI - Faculty of Computer and Information Science
• Publication status: Published
• Publication version: Version of Record
• Year: 2020
• Number of pages: 5 str.
• Numbering: Vol. 12, art. 100623
• PID: 20.500.12556/RUL-138412
• UDC: 004.93
• ISSN on article: 2352-7110
• DOI: 10.1016/j.softx.2020.100623
• COBISS.SI-ID: 37056771
• Publication date in RUL: 20.07.2022

ČEHOVIN ZAJC, Luka, 2020, A modular toolkit for visual tracking performance evaluation. SoftwareX [online]. 2020. Vol. 12,  100623. [Accessed 24 March 2025]. DOI 10.1016/j.softx.2020.100623. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=138412

Record is a part of a journal

• Title: SoftwareX
• Publisher: Elsevier
• ISSN: 2352-7110
• COBISS.SI-ID: 526120473

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

• Language: Slovenian
• Keywords: računalniški vid, vizualno sledenje, ocenjevanje performans, analiza rezultatov poskusov

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: Z2-1866
• Name: Globoko generativno modeliranje izgleda v vizualnem sledenju