no code implementations • 15 Dec 2023 • Matteo Dunnhofer, Luca Sordi, Niki Martinel, Christian Micheloni
To enable the study, the largest and most annotated dataset for computer vision in skiing, SkiTB, is introduced.
no code implementations • 6 Apr 2023 • Matteo Dunnhofer, Luca Sordi, Christian Micheloni
Trajectories are fundamental to winning in alpine skiing.
no code implementations • 27 Sep 2022 • Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni
Despite a few previous attempts to exploit trackers in the FPV domain, a methodical analysis of the performance of state-of-the-art trackers is still missing.
no code implementations • 9 May 2022 • Matteo Dunnhofer, Christian Micheloni
How to combine the complementary capabilities of an ensemble of different algorithms has been of central interest in visual object tracking.
no code implementations • 17 Dec 2021 • Matteo Dunnhofer, Alberto Zurini, Maurizio Dunnhofer, Christian Micheloni
Trajectories are fundamental in different skiing disciplines.
no code implementations • 31 Aug 2021 • Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni
Our study extensively analyses the performance of recent visual trackers and baseline FPV trackers with respect to different aspects and considering a new performance measure.
no code implementations • 26 Mar 2021 • Matteo Dunnhofer, Niki Martinel, Christian Micheloni
Deep regression trackers are among the fastest tracking algorithms available, and therefore suitable for real-time robotic applications.
no code implementations • 24 Nov 2020 • Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni
Despite a few previous attempts to exploit trackers in FPV applications, a methodical analysis of the performance of state-of-the-art visual trackers in this domain is still missing.
no code implementations • 3 Aug 2020 • Matteo Dunnhofer, Niki Martinel, Christian Micheloni
Visual object tracking is the problem of predicting a target object's state in a video.
1 code implementation • 8 Jul 2020 • Matteo Dunnhofer, Niki Martinel, Christian Micheloni
Visual object tracking was generally tackled by reasoning independently on fast processing algorithms, accurate online adaptation methods, and fusion of trackers.
Ranked #5 on Visual Object Tracking on OTB-2015
no code implementations • 18 Sep 2019 • Matteo Dunnhofer, Niki Martinel, Gian Luca Foresti, Christian Micheloni
In the last decade many different algorithms have been proposed to track a generic object in videos.