Since the emergence of Deep Neural Network (DNN), the development of target tracking
technology has also made great progress. Most of the current research in the field of target …

Target tracking is a crucial research area in computer vision, with increasing demand for real-
time monitoring and intelligent interaction. Algorithms for target tracking have evolved from …

Target tracking has always been a research hotspot in the field of computer vision. This
article focuses on single-object tracking and introduces the application and development of …

Object tracking is one of the most important problems in computer vision applications such
as robotics, autonomous driving, and pedestrian movement. There has been a significant …

With the increase in urban population, it became necessary to keep track of the object of
interest. In favor of SDGs for sustainable smart city, with the advancement in technology …

Visual object tracking has become one of the most active research topics in computer vision,
which has been growing in commercial development as well as academic research. Many …

Instance features based deep learning methods prompt the performances of high speed
object tracking systems by directly comparing target with its template during training and …

Object tracking has always been one of the hot tasks in the computer vision community.
Given the object's size and position in the initial frame of a certain video sequence, the task …

In recent years, tracking algorithms based on deep learning frameworks in the field of object
tracking have attracted much attention. The focus of their research is to improve the …

The object tracking problem is usually represented as estimating the state of an arbitrary
target in a video only given its state in the initial frame. Many recent object tracking methods …