文档介绍：毕业论文_运动物体跟踪算法的设计与实现
运动物体跟踪算法
运动物体跟踪算法的设计与实现
摘要:运动目标的检测与跟踪是计算机视觉和图像编码领域的重要研究之一,在军事、医学和科研等领域都有广泛的应用。运动目标检测与跟踪算法的设计直接影响跟踪效果的准确性和稳定性,研究设计鲁棒性好、精确度高的跟踪算法一直是计算机视觉领域的研究热点之一。
本文主要设计实现基于OpenCV的运动物体跟踪算法。论文首先概述了系统开发环境和运动物体跟踪算法;然后论文详细描述了基于OpenCV实现运动物体跟踪算法的数据结构;其次重点讨论了如何设计实现判断每一个像素是前景还是背景的前景检测模块、使用前景检测的结果检测新进入场景的新团块检测模块、团块跟踪模块、轨迹生成、轨迹后处理以及物体跟踪流程模块等;最后论文对运动物体跟踪算法进行了初步理论分析。
关键词:图像处理;运动跟踪;目标检测;Kalman滤波器
Design and Implementation of the Motion Object Tracking Algorithms
Abstract: Motion object detection and tracking is the main research field puter vision and image coding, which has been widely applied in military,medicine and scientific research etc. The accuracy and stability of tracking effect depend on the design of algorithms to a great extent. It is still
one of research hot point to research design an accurate and robust algorithm puter vision.
This article main design realizes based on the OpenCV mobile track algorithm. The paper has first outlined the system development environment and the mobile track algorithm; Then the paper described in detail has realized the mobile track algorithm construction of data based on OpenCV; How did next discuss has designed realizes judges each picture element is with emphasis the prospect or the background prospect examination module, the use prospect examination result examination enters the scene newly the new briquetting examination module, the briquetting track module, the path production, the path post-processing as well as the object track flow module and so on; Finally the paper has carried on the preliminary theoretical analysis to the mobile track algorithm.
Keywords: Image Processing,Motion Tracking,Object Detection,Kalman Filter
目录
序言 1
第1章系统开发环境概述 2
Visual C++ 2
Visual C++的特点 2
VC++的组成 2
OpenCV 3
OpenCV的特点 3
OpenCV的功能 4
OpenCV模块 4
第2章运动物体跟踪算法概述 5
运动物体跟踪算法研究的背景和发展现状 5
论文的背景及意义 5
运动物体跟踪算法的研究和发展现状 5
运动跟踪系统的技术概述 7
第3章运动物体跟踪算法具体描述 8
背景统计量的累积 8
运动模板 9
对像跟踪 11
光流