本文为苏丹科技大学（作者：Alaa Abdelaziz Ahmed）的学士论文，共70页。

智能交通系统（ITS）在全球范围内占有举足轻重的地位，它是一个在交通运输系统的不同领域进行互操作的新事物。交通控制是智能交通系统的重要应用之一。随着人口过剩问题的恶化，交通管制成为一个巨大的挑战。实现这一挑战的解决方案的主要技术之一是基于视频的交通监控系统。近来，基于视频的交通监控的重点已转移到检测高速公路上的事故，如车辆事故、交通拥堵和意外交通堵塞。本文旨在采用基于视频的自动事故侦测（AAD）算法来自动侦测事故。通过监控视频对车辆进行检测和跟踪后，利用质心和包围盒确定事故的发生，一旦发生事故，将立即报告。本研究主要探讨如何利用影像处理与电脑视觉工具来实现所提出的AAD算法，给出了离线测试结果。因此，AAD可以检测、跟踪车辆，并在事故发生时发出通知。

Intelligent Transportation system (ITS) takesa vital part in global world. It is a novel field that interoperates indifferent fields of transportation system. Traffic control is one of theimportant applications of ITS. As the problem of overpopulation worsens,traffic control becomes a grand challenge. Among the main technologies used toimplement solutions for this challenge is the Video-based traffic surveillancesystem. Of late the focus of video-based traffic surveillance has shifted todetect incidents at Highways such as vehicle accidents, traffic congestion, andunexpected traffic blocks. This project aims to detect accidents automaticallyby implementing a vision-based Automatic Accident Detection (AAD) Algorithm.After detecting and tracking vehicles from surveillance videos, centroids andbounding boxes are used to determine the occurrence of accident. In case of anaccident, it will be reported immediately. This research discusses theimplementation of the proposed AAD algorithm using image processing andcomputer vision toolboxes of MATLAB. And also the results of offline testing.As a result, AAD can detect and track vehicles and notify when accident occurs.

1. 引言

2. 文献回顾

3. 研究方法

4. 结果与讨论

5. 结论与建议

附录A MATLAB代码

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