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There are many approaches for motion detection in continuous video streams. All of them are based on comparison of current video frame with one from the previous frames or with something that we ll call background. In this article I ll try to describ
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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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采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码，OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshi
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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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静止背景下运动目标检测，采用帧间差分的方法进行运动目标识别-Static background motion detection, frame difference methods using Moving Object Recognition
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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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采用三帧差的方法，对图像进行处理，获取运动检测的结果，得到运动区域。-A three-frame difference method, image processing, to obtain the results of motion detection, are moving regions.
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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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运动图像目标检测和跟踪，目标检测采用帧间差分法，跟踪采用meanshift算法。-Moving image object detection and tracking, object detection using frame difference method, tracking use of meanshift algorithm.
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摘要
车辆牌照识别(License Plate Recognition System, LPR)作为目标自动识别的一
种重要形式，可用于电子收费、出入控制、车流监控等众多场合，从而提高交通
管理自动化的程度，它的相关技术的研究正逐渐受到人们的重视。
本文主要介绍基于Run Length原理和Tamura纹理的车牌定位系统，该系统是基
于视频流进行开发的，主要包括车辆运动区域检测、车牌图像处理、车牌定位。
其中车辆运动区域检测利用多帧求平均的背景估计方法实现；车牌图像处理包
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用帧差法进行运动目标检测，matlab程序，可以实现-Frame difference method with motion detection, matlab program, can achieve
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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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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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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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在VS2008环境下实现视频序列中，运动目标的检测和跟踪，包括帧差法、背景差分法、MeanShift算法。-In the VS2008 environment for video sequences, moving target detection and tracking, including frame difference method, background subtraction, MeanShift algorithms.
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