LabVIEW视频运动目标检测与跟踪方法研究

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摘要在计算机网络技术飞速发展的同时，技术中的先锋者对于图像处理的研究也不甘落后，这也就促进着图像处理技术也在迅猛发展。所以，当今科技的发展要求人们应该把眼光放得更高更远，这也就导致了对运动的视频目标的监控成为一个焦点。在以前，科学技术界已经对特定的运动目标和静态的背景做了深刻的研究，得到了比较系统的理论和结论，应用也已经比较娴熟，然而对非特定目标的运动和动态背景则研究的相对较少。69250

目前，学界逐步将注意力转移到特定目标的检测与跟踪上面，用来解决不断涌现出理论和应用难题。为此，这篇文章主要是为了帮助解决运动的目标检测与跟踪技术而做了一些研究，主要工作如下：检测与跟踪运动的目标。因为通过摄像头采集到的视频信息是动态信息，所以首要的就是需要把动态背景通过一些手段进行静态化。在对目标的检测方面，就采用了相对计算与应用比较简单的背景差分法。然后通过最小二值化，腐蚀，区域标定等完成对运动目标的检测。还采用 Cam shift 目标跟踪的算法。该算法主要是基于检测部分得到的目标的颜色特征，此外，Cam shift 的鲁棒性较好，即使运动的目标在运动过程中发生形变或被遮挡，仍然可以准确的进行追踪。通过云端控制器在观察中心可以很好的观察到运动的目标，并结合对称差分法将观察到的结果初始化，对运动的目标在静态背景下进行精确的自动跟踪。

最后，还在设计中添加了可以对单个运动目标进行监控的平台，即视频监控平台。在这个视频监控平台中，PC 机作为整个系统的主控制器，DHCG-400 图像采集卡和 ANNKE-AHD 型 CMOS 摄像头作为整个系统的信息采集设备，用来采集外部的视频信息来源。利用先进的计算机网络技术与强大的图像处理能力，完成该课题的研究。

该论文有图 26 幅，参考文献 28 篇。

毕业论文关键词：运动目标检测跟踪 Cam shift LabVIEW

The Research Of Video Moving Target Detection And Tracking Method Based On LabVIEW

Abstract

With the development of computer network technology, image processing technology has been rapid development. Therefore, the development of today's technology requires people should look beyond high further, which also led to the movement of the target video surveillance has become a focal point. In the past, scientific and technical community has been done for a particular moving object and a static background of a deep study to give a more systematic theories and conclusions, applications are already quite adept, but the motion of non-specific target and dynamic background of the study Relatively small.

Now, people on the subject of research focused on the following research. Because the purpose is to solve the level of technology and the development of sync problems. Job Service In this main topic for target detection and tracking, as well as do a number of other studies. Because collected through the camera video information is dynamic information, so first and foremost is the need to carry out some means by dynamic background static. In the detection of targets on the use of a relatively simple calculation and application of background subtraction. Then two of the values by minimizing corrosion, and other regional calibration complete detection of moving targets. Also uses cam shift target tracking algorithm. The premise of the algorithm is to get accurate motion feature, in addition, the robustness of Cam shift better, even if the target motion deformation occurs during exercise or blocked, it can still be tracked accurately. Drive through the center of the controller in the observation well observed target motion, combined with the symmetric difference observed results initialization of the objectives of the campaign for accurate automatic tracking in the static background.