深度单目标跟踪算法综述

Overview of Single Object Tracking Algorithm Based on Deep Learning

目标跟踪算法作为深度学习中常见的算法之一,特点在于对某一个目标的持续跟踪,常见于安防、自动驾驶等领域,对其进行综述,主要包含核心网络结构和思想、难点、以及常见方法、各自的优缺点,最后对于以深度学习为基础的单目标跟踪算法的发展趋势进行展望。

One of the common algorithms in deep learning is object tracking algorithm,which is characterized by continuous tracking of a certain ob⁃ject,which is commonly used in security,automatic driving and other fields,this paper summarizes its core network structure,thought,diffi⁃culties,common methods and their advantages and disadvantages.Finally,the development trend of single object tracking algorithm based on deep learning is prospected.