Recently, Siamese networks have drawn great attention in visual tracking community
because of their balanced accuracy and speed. However, features used in most Siamese …

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 …

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 …

Abstract The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-
term single-object visual trackers that do not apply pre-learned models of object …

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 …

Clustering algorithms by minimizing an objective function share a clear drawback of having
to set the number of clusters manually. Although density peak clustering is able to find the …

Unmanned aerial vehicles (UAVs) are advantageous in their high maneuverability for long-
range outdoor target tracking. In this paper, we develop a UAV-based target tracking and …

This paper presents a sophisticated vision-aided flocking system for unmanned aerial
vehicles (UAVs), which is able to operate in GPS-denied unknown environments for …

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 …

The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object
visual trackers that do not apply pre-learned models of object appearance. Results of 70 …