Deep learning has been overwhelmingly successful in computer vision (CV), natural
language processing, and video/speech recognition. In this paper, our focus is on CV. We …

Recently, deep learning has achieved great success in visual tracking. The goal of this
paper is to review the state-of-the-art tracking methods based on deep learning. First, we …

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

New advances in electronic commerce systems and communication technologies have
made the credit card the potentially most popular method of payment for both regular and …

Visual object tracking is challenging as target objects often undergo significant appearance
changes caused by deformation, abrupt motion, background clutter and occlusion. In this …

Robust object tracking is a challenging task in computer vision. To better solve the partial
occlusion issue, part-based methods are widely used in visual object trackers. However, due …

This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …

Deep networks have been successfully applied to visual tracking by learning a generic
representation offline from numerous training images. However, the offline training is time …

Visual tracking is challenging as target objects often undergo significant appearance
changes caused by deformation, abrupt motion, background clutter and occlusion. In this …

Deep learning (DL) has made breakthroughs in many computer vision tasks and also in
visual tracking. From the beginning of the research on the automatic acquisition of high …