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ViCoS Lab

Authors

Luka Čehovin Zajc, PhD
Luka Čehovin Zajc, PhD

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visual tracking vot matlab software

A modular toolkit for visual tracking performance evaluation

Luka Čehovin Zajc
SoftwareX, Elsevier, 2020,

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.

Faculty of Computer and Information Science

Visual Cognitive Systems Laboratory

University of Ljubljana

Faculty of Computer and Information Science

Večna pot 113
SI-1000 Ljubljana
Slovenia
Tel.: +386 1 479 8245