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一个基于Visual C++和opencv的运动检测程序，运行时鼠标画框圈选运动的无图就可以实现跟踪源代码。-Based Visual C++ and opencv motion detection program, run the mouse movement without frame circle graph tracking the source code can be achieved.
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运动检测算法，帧间差法进行运动检测，并进行运动补偿。-Motion detection algorithm, inter-frame difference method for motion detection and motion compensation.
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带帧差法和区域分割的运动检测。适合初学者-With the frame difference method and regional segmentation of the motion detection. Suitable for beginners
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本代码计算帧间光流场，通过阈值分割获得运动矢量，对当前帧进行补偿，配置差分后实现运动目标分割，解决复杂背景下运动目标的检测问题。-This code interframe optical flow field calculated by threshold segmentation to obtain motion vectors, to compensate for the current frame, after the implementation differential configu
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基于vc++和opencv的运动检测程序，运行时鼠标画框圈选运动的无图就可以实现跟踪。-Vc++ and based on the motion detection opencv procedures, run-time frame to select the mouse movement can be achieved without the tracking map.
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背景差和帧差法实现运动人体的跟踪，具有搞噪声和消除大部分阴影功能-Background difference and frame difference method to achieve motion tracking of the human body, has engaged in the shadow of the noise and the elimination of most of the functionality
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运动目标识别与跟踪程序，具有相当不错的执行能力-There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video frame with one from the previous frames or with something that we ll call background. In this
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Motion Detection Algorithms
There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video frame with one from the previous frames or with something that we ll call background. I
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兴趣所致，内有3*3中值滤波、腐蚀、膨胀、求质心、链表创建与销毁、同时还有帧差分法的移动侦测，已调试通过，下载即可使用，当然了，技术含量不是很大，只不过希望对大家学习C语言编程提供点帮助！-Interest due, there are 3* 3 median filter, erosion, dilation, and quality heart, list creation and destruction, as well as the frame difference method of
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从运动背景中检测与跟踪运动目标是计算机视觉研究领域的热点,根据帧差法的基本原理,提出了一种
针对复杂背景的运动目标检测方法
-Background from the motion detection and tracking of moving objects in computer vision research field, according to the basic principle of the frame difference method, a complex backg
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进行了视频人体对象分割技术研究，综合
使用静态图像分割技术与帧间运动检测技术，设计并实现了一个交互
式视频对象分割系统-Human object segmentation for video technology, the integrated use of static image segmentation and inter-frame motion detection technology, design and implementation of an interactive v
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利用帧差法进行视频运动目标的检测，可以粗略的检测出运动模块，可以结合其他方法进行更进一步的检测-Video frame-difference method using moving target detection, motion detection can be roughly modules can be combined with other methods for further testing
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使用帧差法，实现运动物体的检测.这是视频监控系统的一个基本要求,也是进一步进行目标分析的基础 。-a motion detection and background updating method was developed based on the coterminous frame differencing.
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本程序基于Altera公司的DE2平台完成仓库的实时监控并对移动的目标进行自动识别和报警的FPGA设计，研究重点就是图像采集和移动目标识别的FPGA实现。采用Altera公司的DC2模版对视频进行采集并将采集到的图像信息进行缓存，通过监视器实时显示，采用帧间差分法对采集到的帧图像进行运动检测，当仓库中有运动情况的时候，两个图像间灰度会出现异常，通过对灰度异常的侦测完成仓库移动目标的识别并蜂鸣器报警。-Complete real-time monitoring of the warehouse a
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frame difference in motion detection
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OpenCV基于帧间差分的运动检测和轮廓提取-OpenCV based on frame difference, motion detection and contour extraction
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There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video frame with one from the previous frames or with something that we ll call background. In this article, I ll try to de
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背景差与帧间差结合的运动检测，并在原视频中画出运动物体-Background difference and frame difference combination of motion detection, and draw in the original video of moving objects
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自适应核密度估计运动检测方法 提出一种自适应的核密度(kernel density estimation, KDE)估计运动检测算法. 算法首先提出一种自适应前景、背景阈值的双阈值选择方法, 用于像素素分类. 该方法用双阈值能克服用单阈值分类存在的不足, 阈值的选择能自适应进行, 且能适应不同的场景. 在此基础上, 本文提出了基于概率的背景更新模型, 按照像素的概率来更新背景, 并利用帧间差分背景模
-Adaptive kernel density estimation motion det
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运动检测的实例，适合初学入入门者，用到帧差法，区域分割等
-Instance of motion detection, suitable for beginners into beginners, use the frame difference method, region segmentation
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