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运动目标跟踪算法包括：
1. 静态背景下的背景预测法目标检测
2. 静态背景下帧间差分法目标检测
3. Mean Shift目标跟踪方法
4. 重心多目标跟踪方法
,Moving Target Tracking Algorithm include: 1. Quiescent in the context of target detection in the context of prediction 2. Static background frame difference metho
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视频演示算法包括：
1. 静态背景下的背景预测法目标检测
2. 静态背景下帧间差分法目标检测
3. Mean Shift目标跟踪方法
4. 重心多目标跟踪方法
该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。,Video Demo algorithm includes: 1. Static background prediction in the context of target detection 2. The conte
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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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视频演示算法包括：
1. 静态背景下的背景预测法目标检测
2. 静态背景下帧间差分法目标检测
3. Mean Shift目标跟踪方法
4. 重心多目标跟踪方法-Video demo algorithm include:
1 static background background prediction method
2 the static background frame difference method target detection
3 the target
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利用三帧帧差法实现视频图像的前景与背景的分离-Three frame difference method of video image foreground and background separation
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输入两幅图像，利用帧差法求运动对象，经过膨胀、腐蚀，然后区域分割计算车流量。-Enter the two images, the use of frame-difference method for moving object, after expansion, corrosion, and then calculating the flow region segmentation.
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帧差法识别运动并描述运动物体轮廓。物体可从摄像头或视频文件中读取。-Frame difference method identify and describe the moving object contour movement. Objects from the camera or video file to read.
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视频演示算法包括，1. 静态背景下的背景预测法目标检测。 静态背景下帧间差分法目标检测Mean Shift目标跟踪方法 重心多目标跟踪方法。该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Video presentation algorithms, including, 1. Static background background prediction target detection. Static background fram
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实现对视频一帧帧播放，并实现背景相减，帧间相差法等，并实现运动目标的跟踪。-To achieve a frame of video playback, and to achieve background subtraction, inter-frame difference method, etc., and tracking moving objects.
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视频运动目标检测，包括背景预测法目标检测和帧间差分法目标检测，，Meam Shift目标跟踪和多目标重心法跟踪，内含演示说明。
-Video moving target detection, including background prediction target detection and inter-frame difference method for target detection, target tracking and multi-objective, Meam the S
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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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利用二帧帧差法来实现视频图像中前景与背景的分离-Two frame difference method to achieve the separation of the foreground and background in the video images
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Matlab下读取avi视频文件并进行基于邻帧差法的视频目标运动检测-in matlab,reading avi video detect motion in base of the adjacent frame difference method
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用帧差法进行目标跟踪，使用了opencv工具包，在vs2008下开发。-opencv VC++ computer visual
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关于帧差法的特征提取的代码，用于图像识别，和图像分割-On the frame difference method for feature extraction code for image recognition, image segmentation and
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基于Opencv1.0的帧差法目标识别，效果不是很好，但具有一定的实时性。-Opencv1.0 frame difference method based object recognition, the effect is not very good, but has some real-time.
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opencv环境下用visual studio帧间差法实现背景检测-Background frame difference method to achieve detection
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本程序运用帧间差分法进行运动目标的检测，通过帧间差分法获得差分图像，然后运用数学形态学进行处理，突出运动目标-This procedure using the inter-frame difference method to detect moving targets, the difference image obtained by inter-frame difference, then processed using mathematical morphology, highlightin
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通过读取视频中连续几帧图像，利用帧间差分法检测得到目标图像-The target image is detected by using the inter frame difference method.
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基于帧差分法的视频前景提取，在matlab环境中运行，速度快，静态背景下效果好(Video foreground extraction based on frame difference method)
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