Transformer has shown excellent performance in remote sensing field with long-range
modeling capabilities. Remote sensing video (RSV) moving object detection and tracking …

Abstract Recently, Multiple Object Tracking has achieved great success, which consists of
object detection, feature embedding, and identity association. Existing methods apply the …

The accuracy of crowd counting in images has improved greatly in recent years due to the
development of deep neural networks for predicting crowd density maps. However, most …

Introduction Hand gestures are an effective communication tool that may convey a wealth of
information in a variety of sectors, including medical and education. E-learning has grown …

Recently, tracking-by-detection has become a popular paradigm in Multiple-object tracking
(MOT) for its concise pipeline. Many current works first associate the detections to form track …

In recent years, deep learning has revolutionized computer vision and has been widely used
for monitoring in diverse visual scenes. However, in terms of some aspects such as …

The field of computer vision is revolutionized with the advancement of deep learning and the
availability of high computational power. In addition, in the field of computer vision, object …

Modern online multiple object tracking (MOT) methods usually focus on two directions to
improve tracking performance. One is to predict new positions in an incoming frame based …

Siamese network has obtained growing attention in real-life applications. In this survey, we
present an comprehensive review on Siamese network from the aspects of methodologies …

Crowd tracking and analysis of crowd behavior is a challenging research area in computer
vision. In today's crowded environment manual surveillance systems are inefficient, labor …