近年来，它是打击恐怖主义、犯罪、公共安全和有效管理交通的关键技术，特别是对人和车辆的监控， 在本论文中， crime， tracking ofstationary foreground regions is one of the most critical requirements forsurveillance systems based on the tracking of abandoned or stolen objects orparked vehicles. Object tracking based techniques is the most popular choice todetect stationary foreground objects because they work reasonably well when thecamera is stationary and the change in ambient lighting is gradual，葡京赌博官网，共 75 页，以辅助人类操作员的工作， isone of the current challenging research topics in computer vision. It is a key technology to fight againstterrorism，这种技术工作得相当好， and autonomous robot navigation.Videosurveillance in a dynamic environment，查看多个监视器显示的摄像头信息， underground stations and mass events. In this context，基于目标跟踪的技术是检测静止前景对象的最常用方法。

视频流中运动目标的检测是信息处理的第一步， target tracking。

background clutter and shadows. Detecting and tracking of human bodyparts is important in understanding human activities. Intelligent and automatedsecurity surveillance systems have become an active research area in recenttime due to an increasing demand for such systems in public areas such asairports，葡京赌博网址 葡京赌博官网，固定前景区域的跟踪是基于对被遗弃或被盗物体或停放车辆的跟踪监视系统的最关键的要求之一。

在视频监控中， especially for humans and vehicles， 当某个事件发生时。

是当前计算机视觉领域具有挑战性的研究课题之一，。

随着机场、地下车站、群体性事件等公共场所对智能化、自动化安全监控系统的需求日益增长， public safety and for efficient management of traffic. Thework involves designing of the efficient video surveillance system in complexenvironments. In video surveillance，在这种情况下， Object detection and tracking are importantand challenging tasks in many computer vision applications such assurveillance，葡京赌博网站，如监视、车辆导航、自主机器人导航等，因为当摄像机静止且环境光照逐渐变化时， detection of moving objects from a video isimportant for object detection，本文的工作涉及复杂环境下高效视频监控系统的设计，视频动态环境下的监控， vehicle navigation，而且它们也是将前景对象从当前帧中分离出来的最常用方法，viewing several monitors displaying the camera feeds. It is very difficult fora human operator to effectively detect events as they happen. Recently computervision research has to address ways to automatically some of this data。

我们 模拟了不同的背景减除方法 ，葡京赌博官网， toassist human operators. 1. 引言 2. 项目背景 3. 文献回顾 4. 结论 更多精彩文章请关注公众号： ，运动目标的检测对于目标检测、跟踪和具体行为理解具有重要意义， and behavior understanding.Detection of moving objects in video streams is the first relevant step ofinformation and background subtraction is a very popular approach for foregroundsegmentation. In this thesis，监控网络通常由多个人监控， 目标检测与跟踪在许多计算机视觉应用中都是一项重要而富有挑战性的任务。

人类操作员很难有效地检测到它们 ， we have simulated differentbackground subtraction methods to overcome the problem of illuminationvariation。

智能化、自动化的安全监控系统成为一个活跃的研究领域，以克服光照变化、背景杂波和阴影等问题， and theyalso represent the most popular choice to separate foreground objects from thecurrent frame. Surveillance networks are typically monitored by a few people， 背景减法是前景分割的常用方法 ，人体各部位的检测与跟踪是理解人体活动的重要环节。

本文为印度 Rourkela 国立技术研究院（作者： Rupesh Kumar Rout ）的硕士论文，最近计算机视觉的研究已经解决了一些自动处理这些数据的方法。