目标跟踪project3

代码说明：

说明：  视频跟踪是计算机视觉中的一个重要研究方向，有着广泛的应用，如：视频监控，人机交互， 无人驾驶等。过去二三十年视觉目标跟踪技术取得了长足的进步，特别是最近两年利用深度学习的目标跟踪方法取得了令人满意的效果，使目标跟踪技术获得了突破性的进展。本文旨在简要介绍：目标跟踪的基本流程与框架，目标跟踪存在的挑战，目标跟踪相关方法，以及目标跟踪最新的进展等，此次资料能够帮助初学者对于这个领域有一个初步的认识。(Video tracking is an important research direction in computer vision and has a wide range of applications, such as: video surveillance, human-computer interaction, and unmanned driving. The visual target tracking technology has made great progress in the past two or three decades, especially the target tracking method using deep learning in the past two years has achieved satisfactory results, making the target tracking technology a breakthrough. This article aims to briefly introduce: the basic process and framework of target tracking, the challenges of target tracking, related methods of target tracking, and the latest progress of target tracking. This information can help beginners to have a preliminary understanding of this field.)

文件列表：

project3\project3.m, 7153 , 2008-01-23
project3\report.pdf, 99244 , 2006-12-14
project3, 0 , 2008-01-23
readme.txt, 149 , 2011-06-02