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由运动目标检测的两种基本方法----帧间差分法和背景差分法,借助于OpenCV技术，在Visual C++ 6.0编程环境下开发了运动目标检测系统。该系统首先对不同途径采集的视频图像序列进行相关的预处理之后，分别采用不同检测算法检测出图像序列中的变化区域，最后用形态学滤波和连通性分析对变化区域进行后处理，从而将视频图像序列中的运动目标比较可靠地检测出来。-The two basic methods of moving target detection---- inter-frame diffe
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Segmentation of moving objects efficiently from video sequence is very important for many applications. Background subtraction is a common method typically used to segment moving objects in image sequences taken from a statistic camera. Some existing
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进行背景识别，在背景识别及算法中得到充分的应用。可以检测视频，作背景减法，计算重心-Background to identify, to be fully applied in the background to identify and algorithms. Can detect video for background subtraction to calculate the center of gravity
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运动目标识别，从视频中提取出背景，然后采用背景差除法和开闭运算法，能够很好的识别出运动中物体-Moving target identification, extracted from the video out of context, and then using background subtraction method of division and opening and closing operations, can well identify objects in motion
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Identification of regions of interest in the field of view of a camera from the standpoint of occurring dynamics (movement, other changes), often called background subtraction, is a core task in many computer vision and video analytics problems.- Id
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Background subtraction matlab code for object motion estimation and tracking in video
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对图片和视频进行处理，在opencv中对视频进行加噪去噪，以及背景差分法对它进行背景提取。-The image and video processing, opencv in the video noise denoising, and background subtraction method for background extraction.
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在opencv中对视频用背景差分法对它进行背景提取。-The image and video processing, opencv in the video noise denoising, and background subtraction method for background extraction.
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基于帧间差分的单目标/多目标的实时跟踪程序，基于MATLAB编写。希望对刚学习MATLAB的同学有所帮助-This example shows how to perform automatic detection and motion-based
tracking of moving objects in a video a stationary camera.
Copyright 2014 The MathWorks, Inc.
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