运动目标跟踪系统的设计与实现

admin管理员组

文章数量:1532732

2024年3月17日发(作者：)

华中科技大学硕士学位论文

摘 要

目标检测和跟踪有很多的应用领域，包括智能交通网、视频内容分析和目标行

为理解等。MMDTS（Mulitple Moving Object Detection and Tracking System）是我们

研究的一个对于多个运动目标检测和跟踪的系统。它采用混合高斯模型建立背景模

型，通过连通成分分析和前景区域上的角点检测分别获得团特征和角点特征，接着

采用一个多层次级别的跟踪策略来稳定的跟踪独立目标。最后，扩展的应用系统还

具备目标跟踪轨迹自动记录，人车流量统计，车辆逆向行驶警告等功能。

本文所做的研究工作主要有MMDTS系统的设计与实现，和在此基础上的三个

扩展应用功能的实现。MMDTS系统包括背景建模，特征提取，特征跟踪和预测模

型部分。特征提取和预测模型选用了较为常用和成熟的技术来实现，背景建模和特

征跟踪是本文研究的重点。在背景建模部分，本文在经典的混合高斯背景建模方法

的基础上，加入了光线矫正和HSV颜色空间中阴影去除的考虑。在特征跟踪部分，

本文设计了一个多层次级别的跟踪策略，分别在团特征、独立目标特征、角点特征

上的匹配跟踪。三层级别的跟踪信息彼此交互和利用，使得跟踪能够适应实际的各

种情况，具备真正意义的实际应用。

MMDTS已经在多个数据库上测试，在检测和跟踪目标上均有较好的表现，能

适应场景光线的变动，在目标与目标之间出现交叉时也依然能跟踪独立目标。然而

系统也有不足之处，例如对于首次出现就交叠在一起的几个独立目标，系统会将它

们作为一个整体跟踪直到它们分离。最后，扩展的应用系统还具备目标轨迹自动记

录，人车流量统计，车辆逆向行驶警告等功能。

关键词：混合高斯 阴影检测 目标检测 角点检测 目标跟踪

I

华中科技大学硕士学位论文

Abstract

Object detection and tracking has many applications in some area, including

intelligent transport network, video content analysis and object behavior understanding.

MMDTS is our system to detect and track multiple moving objects. In our systrem, a

mixture gaussian is used to model the background. Then, blob features are grouped by

using connected component label method and corner features are obtained by corner

detection in the foreground. Finally, a multi-level feature tracking strategy is used to track

independent object stably. Also, our extended system has three applications, object

tracking recording, people and vehicle counting and vehicle reverse traveling warning.

This paper's main research work is to design and implement the MMDTS system and

three extended applications. MMDTS system is content of background model, feature

extraction, feature tracking and prediction model. We select common and mature

technology for the feature extraction and prediction model. Background model and feature

tracking are the focus of the paper. Based on Mixed Gaussian Model we have two

cosiderations, luminous correction and shadow removal in HSV color space to modeling

the background. In the feature tracking part, we design a multi-level tarcking straegy to

tracking independent object by matching blob feature, independent object feature and

corner feature. Three levels of tracking information are used interact with each other, and

it can adapt variety situations in practical. This means it has real application.

MMDTS has been tested in multiple databases, and it has well performance in both

detection and tracking objects. It can adapt luminous change and handle objects crossing.

However, the system also has some shortcomings, such as objects overlaped at first time

would be tracked as one independent object. Also, our extended system has three

applications, object tracking recording, people and vehicle counting and vehicle reverse

traveling warning.

Keyword: Mixture Gaussian Model Shadow Detection Object Detection Corner

Detection Object Tracking

II

本文标签： 跟踪目标系统检测特征