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2下载：
视频捕捉与帧处理 演示程序 v0.1版
说明：
1.支持USB摄像头
2.使用已封装好的framegrabber类，非常简便
3.带有简单的实时边缘检测、运动检测功能
(含演示录像)-video frame capture and processing procedures v0.1 demo version : 1. USB camera 2. use Packaging good framegrabber category, three very simple. w
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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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本文实现了在连续视频数据流中几种不同的运动检测算法，他们都是基于当前帧图像和前一帧图像的比较，程序使用了AForge.NET framework库。其中的示例代码支持下面几种视频格式：AVI文件、网路相机的JPEG和MJPEG，本地的采集设备(USB相机等)。-This article implements a continuous video data stream in several different motion detection algorithms, they are based
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VC6.0+opencv环境下运动检测的实例，使用了帧差法、GMM方法等，可以对比不同建模方法的效果-VC6.0+ opencv environment, motion detection example, using the frame difference method, GMM methods, you can compare the effect of different modeling methods
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motion detection by using difference frame
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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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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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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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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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matlab下使用帧差法实现视频跟踪，提供了一个测试视频和完整的说明文档。下载后可以直接在matlab环境下运行。-matlab using frame difference for video tracking, provides a test video and complete documentation. Download matlab environment can be run directly.
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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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matlab实现视频中动态目标跟踪，试验过，可以用，帧插法实现-matlab dynamic target tracking in video, tested, you can use, frame interpolation to achieve
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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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基于帧间差分法的运动目标检测程序，可以直接使用，付视频-Frame difference method based on motion detection program that can be used directly
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frame differences motion detection
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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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运动检测mat程序，包括帧差法和三帧差法，还有检测视频片段-Motion detection mat procedures, including frame difference method and the three difference method, as well as detection of video clips
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运动车辆的检测算法实现和设计，帧差法源代码-Motion detection algorithm implementation and design of the vehicle frame difference method source code
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This paper presents a simple technique for motion detection in
steady-camera video sequences. It consists of three stages. Firstly, a coarse
moving edge representation is computed by a set of arithmetic operations
between a given frame and two equ
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