Search Results for author:
Found 11 papers, 1 papers with code
Tracking Skiers from the Top to the Bottom
To enable the study, the largest and most annotated dataset for computer vision in skiing, SkiTB, is introduced.
Visualizing Skiers' Trajectories in Monocular Videos
Trajectories are fundamental to winning in alpine skiing.
Visual Object Tracking in First Person Vision
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.
CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking
How to combine the complementary capabilities of an ensemble of different algorithms has been of central interest in visual object tracking.
Video-Based Reconstruction of the Trajectories Performed by Skiers
Trajectories are fundamental in different skiing disciplines.
Is First Person Vision Challenging for Object Tracking?
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.
Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation
Deep regression trackers are among the fastest tracking algorithms available, and therefore suitable for real-time robotic applications.
Is First Person Vision Challenging for Object Tracking?
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.
An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers
Visual object tracking is the problem of predicting a target object's state in a video.
Tracking-by-Trackers with a Distilled and Reinforced Model
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
Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator
In the last decade many different algorithms have been proposed to track a generic object in videos.
