Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …

Abstract We present Siam R-CNN, a Siamese re-detection architecture which unleashes the
full power of two-stage object detection approaches for visual object tracking. We combine …

Abstract The Visual Object Tracking challenge VOT2019 is the seventh annual tracker
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …

As a fundamental task in computer vision, visual object tracking has received much attention
in recent years. Most studies focus on short-term visual tracking which addresses shorter …

Compared with traditional short-term tracking, long-term tracking poses more challenges
and is much closer to realistic applications. However, few works have been done and their …

Visual object tracking is an important area in computer vision, and many tracking algorithms
have been proposed with promising results. Existing object tracking approaches can be …

We introduce the OxUvA dataset and benchmark for evaluating single-object tracking
algorithms. Benchmarks have enabled great strides in the field of object tracking by defining …

Recent years have witnessed an unprecedented growing of sport videos, as different types
of sports activities can be widely-observed (ie, from professional athletics to personal …

By imaging a specific area continuously, satellite video shows excellent capability in various
applications such as surveillance and traffic management. Although object tracking has …

This paper proposes a new visual tracking algorithm, which leverages the merits of both
template matching approaches and classification models for long-term object detection and …