The goal of this paper is to review the state-of-the-art progress on visual tracking methods,
classify them into different categories, as well as identify future trends. Visual tracking is a …

We introduce CoTracker, a transformer-based model that tracks a large number of 2D points
in long video sequences. Differently from most existing approaches that track points …

We introduce PointOdyssey, a large-scale synthetic dataset, and data generation framework,
for the training and evaluation of long-term fine-grained tracking algorithms. Our goal is to …

Tracking pixels in videos is typically studied as an optical flow estimation problem, where
every pixel is described with a displacement vector that locates it in the next frame. Even …

Imaging has become an essential tool in modern radiotherapy (RT), being used to plan dose
delivery prior to treatment and verify target position before and during treatment. Ultrasound …

Abstract RGB-Thermal (RGB-T) object tracking receives more and more attention due to the
strongly complementary benefits of thermal information to visible data. However, RGB-T …

In this paper, we address the problem of long-term visual tracking where the target objects
undergo significant appearance variation due to deformation, abrupt motion, heavy …

We propose a multi-expert restoration scheme to address the model drift problem in online
tracking. In the proposed scheme, a tracker and its historical snapshots constitute an expert …

Object tracking is one of the most important components in numerous applications of
computer vision. While much progress has been made in recent years with efforts on sharing …

Despite recent advances in the visual tracking community, most studies so far have focused
on the observation model. As another important component in the tracking system, the …