基于opencv的运动目标检测与跟踪-毕设论文 - 图文 联系客服

发布时间 : 星期一 文章基于opencv的运动目标检测与跟踪-毕设论文 - 图文更新完毕开始阅读22ea8842366baf1ffc4ffe4733687e21af45fff0

基于VC的运动图像跟踪算法设计

学 院 专 业 班 级 学 号 姓 名 指导教师 负责教师

自动化学院

沈阳航空航天大学

2013年6月

沈阳航空航天大学毕业设计(论文)

摘 要

运动目标检测与跟踪作为计算机视觉领域的一个重要分支与基础,在工业、医疗保健、航空航天、军事等各个领域具有广泛的应用前景,一直受到广泛的关注,并成为计算机视觉领域的一个研究热点。但是由于运动目标检测问题本身的复杂性,运动目标的检测与跟踪依然面临着诸多挑战。本文在现有研究成果的基础上,对静态场景下的运动目标检测跟踪进行了深入的讨论。

本文首先对运动目标检测的基本方法----帧间差分法与背景差分法进行了深入的学习和探讨,然后,借助于OpenCV技术,在Visual C++ 6.0编程环境下开发了运动目标检测跟踪系统。该系统首先对采集的视频图像序列进行相关的预处理之后,将视频图像序列中的运动目标比较可靠地检测出来。通过系统的测试结果和数据可以得出结论:本文基于OpenCV设计的运动目标检测跟踪系统具有良好的实时性,能够正确地进行运动目标的实时检测与跟踪。

关键词:运动目标检测;帧间差分法;视频图像;OpenCV

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基于VC的运动图像跟踪算法设计

Algorithm Design of Image Motion Tracking Based on VC

Abstract

Moving target detection and tracking field of computer vision as an important branch of the foundation, in the industrial, healthcare, aerospace, military and other fields with a wide range of applications, has been widespread concern, and the field of computer vision to become a research hotspot. However, due to moving target detection complexity of the problem itself, moving target detection and tracking is still facing many challenges. In this paper, based on the results of existing research in static scenes of the moving target detection and tracking in-depth discussion.

This article first basic method of moving target detection - frame difference method and background subtraction method conducted in-depth study and discussion, and then, by means of OpenCV technology, Visual C 6.0 programming environment developed a moving target detection and tracking system. The system and the collection of the associated video sequence after pretreatment, the video image of the moving target sequence comparison reliably detected. Through systematic test results and data can be concluded: Based on OpenCV design moving target detection and tracking system has good real-time, be able to properly carry out real-time moving target detection and tracking.

Keywords: moving target detection; frame difference method; video frame; OpenCV

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