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 …

Augmented reality (AR) has proven to be an invaluable interactive medium to reduce
cognitive load by bridging the gap between the task-at-hand and relevant information by …

In this paper we illustrate how to perform both visual object tracking and semi-supervised
video object segmentation, in real-time, with a single simple approach. Our method, dubbed …

While recent years have witnessed astonishing improvements in visual tracking robustness,
the advancements in tracking accuracy have been limited. As the focus has been directed …

Current state-of-the-art trackers rely only on a target appearance model in order to localize
the object in each frame. Such approaches are however prone to fail in case of eg fast …

Abstract The Visual Object Tracking challenge VOT2018 is the sixth annual tracker
benchmarking activity organized by the VOT initiative. Results of over eighty trackers are …

Recently, the region proposal networks (RPN) have been combined with the Siamese
network for tracking, and shown excellent accuracy with high efficiency. Nevertheless …

In this article, we introduce SiamMask, a framework to perform both visual object tracking
and video object segmentation, in real-time, with the same simple method. We improve the …

Estimating the target extent poses a fundamental challenge in visual object tracking.
Typically, trackers are box-centric and fully rely on a bounding box to define the target in the …

The greatest challenge facing visual object tracking is the simultaneous requirements on
robustness and discrimination power. In this paper, we propose a SiamFC-based tracker …