本文为捷克共和国布尔诺理工大学（作者：Ing. Igor Potúček）的博士论文，共101页。

本文研究了全方位人体活动检测与跟踪系统的建立及其方法。全方位系统的研究越来越多，原因在于它具有成本低、可移植性好、安装方便等优点。

它的主要优点是能够捕捉到360度空间角的很大一部分。但是，在另一方面，存在着许多问题，必须加以解决。全向系统的图像具有不同于标准透视图像的特性，因为它们具有较低的有效分辨率和不利的图像失真。如果要将得到的图像呈现给人或进一步处理，则必须进行变换和适当的校正。

本文提出了将图像转换成透视图或全景图以及几何校正的技术。移动折反射系统通常容易发生振动，从而导致变换后的全景图像失真。因此，提出了一种新的全向系统稳像方法。

人脸和手部检测在视频监控、人机接口、人脸识别等应用中有着重要的作用，宽视角是实现这类任务的关键，因此全方位的系统非常适合于这些应用。针对全向系统捕获的各种视频序列，比较了两种不同的跟踪方法，以说明全向系统和所提出方法的优缺点。针对不同视频源的定性和定量算法进行描述与比较，提出了评价方案。

This work investigates the setup and the set of methods of omni-directional system for human activity detection and tracking. Research in the area of the omni-directional systems is growing, the reason are many advantages such as low cost, portability and easy installation.

The main advantage is capturing a large portion of a space angle, which is 360 degrees. On the other hand, a lot of problems exist and they must be solved. Images from omni-directional systems have different properties than standard perspective images as they have lower effective resolution and suffer adverse image distortion. If the resulting image is to be presented to a human or is further processed, transformation and suitable kind of corrections must be done. Techniques for image transformation into a perspective or panoramic view and geometrical corrections are suggested in this paper. The mobile catadioptric system is usually prone to vibrations, which cause the distortion in the transformed panoramic image. Therefore the novel approach for stabilization of the image from omni-directional system was proposed.

Human face and hands detection plays an important role in applications such as video surveillance, human computer interface, face recognition, etc. The wide view angle is important for this kind of tasks and therefore the omni-directional system is suitable for these purposes. Two different tracking methods are compared on the various kinds of video sequences captured by omni-directional system in order to demonstrate the benefits and/or drawbacks of the omni-directional system and proposed methods. The evaluation scheme was developed for qualitative and quantitative algorithm description and comparison on different video sources.

1.       引言

2. 全向系统与图像处理

3. 对于全向视觉系统提出的方法

4. 达成目标

5. 实验结果

6. 所提出方法的应用

7. 结论

附录A 术语定义

附录B 全向系统的实时应用

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