Accurate and robust visual object tracking is one of the most challenging and fundamental
computer vision problems. It entails estimating the trajectory of the target in an image …

Object tracking belongs to active research areas in computer vision. We are interested in
matching-based trackers exploiting deep machine learning known as Siamese trackers …

Advanced Siamese visual object tracking architectures are jointly trained using pair-wise
input images to perform target classification and bounding box regression. They have …

Visual tracking of generic objects is one of the fundamental but challenging problems in
computer vision. Here, we propose a novel fully convolutional Siamese network to solve …

Visual tracking is one of the most fundamental topics in computer vision. Numerous tracking
approaches based on discriminative correlation filters or Siamese convolutional networks …

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

In recent years, Siamese network based trackers have significantly advanced the state-of-
the-art in real-time tracking. Despite their success, Siamese trackers tend to suffer from high …

Visual tracking addresses the problem of localizing an arbitrary target in video according to
the annotated bounding box. In this article, we present a novel tracking method by …

Recently, we have seen a rapid development of Deep Neural Network (DNN) based visual
tracking solutions. Some trackers combine the DNN-based solutions with Discriminative …

Local structure of target objects are essential for robust tracking. However, existing methods
based on deep neural networks mostly describe the target appearance from the global view …