本文为瑞典于默奥大学（作者：Sanna Agren）的硕士论文，共45页。

目标跟踪是图像处理领域的一个研究热点。在过去的几十年里，跟踪物体的能力有了很大的提高，但仍然被认为是一个需要解决的复杂问题。目标跟踪的重要性体现在视频监控、人机交互、机器人导航等广泛的应用领域。本研究的目的是分析、评估和总结最常见的目标追踪方法。本文对目标跟踪过程进行了全面的回顾，包括选择目标表示、目标特征、目标检测方法和在后续帧上跟踪目标的方法。结论部分总结了本文所涉及的目标跟踪方法，包括其优缺点，以及每种方法适用的场景。

Object tracking is a well-studied problemwithin the the area of image processing. The ability to track objects hasimproved drastically during the last decades, however, it is still considered acomplex problem to solve. The importance of object tracking is reflected by thebroad area of applications such as video surveillance, human-computerinteraction, and robot navigation. The purpose of this study was to examine,evaluate, and make a summary of the most common object tracking methods. Inthis paper a thorough review of the object tracking process is presented. Thisincludes selection of object representation, object features, methods forobject detection, and methods for tracking the object over succeeding frames. Asummary of the object tracking methods covered in this paper is presented inthe result section, including advantages, disadvantages, and for which contexteach method is suitable for.

1. 引言

2. 项目背景

3. 研究方法

4. 跟踪过程

5. 结果

6. 讨论

7. 结论

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