Current developments in object tracking and detection techniques have directed remarkable
improvements in distinguishing attacks and adversaries. Nevertheless, adversarial attacks …

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 …

Visual object tracking is an important task in computer vision, which has many real-world
applications, eg, video surveillance, visual navigation. Visual object tracking also has many …

The online learning methods are popular for visual tracking because of their robust
performance for most video sequences. However, the drifting problem caused by noisy …

The use of multiple features has been shown to be an effective strategy for visual tracking
because of their complementary contributions to appearance modeling. The key problem is …

In the same vein of discriminative one-shot learning, Siamese networks allow recognizing
an object from a single exemplar with the same class label. However, they do not take …

Depth cameras have recently become popular and many vision problems can be better
solved with depth information. But, how to integrate depth information into a visual tracker to …

The existence of motion blur can inevitably influence the performance of visual object
tracking. However, in contrast to the rapid development of visual trackers, the quantitative …

The objective of the present study is to design a correlation filter-based tracking method for
robust visual object tracking. In the literature, numerous tracking methods have been …

Object tracking is a hot topic in computer vision. Thanks to the booming of the very high
resolution (VHR) remote sensing techniques, it is now possible to track targets of interests in …