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自己写的vc 读取YUV视频信号 进行帧差法进行目标跟踪 ，高斯背景模型提取，,Vc wrote it myself to read YUV video signal frame-difference method for target tracking, Gaussian background model extraction,
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视频帧分析源码，用于车辆检测及车牌识别，采用背景差分法-Analysis of source video frame for vehicle license plate detection and identification, using the background difference method
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在VS2008平台上实现的运动目标检测，采用帧差法实现，并用图像形态学进行图像的细化。-In VS2008 platform to achieve object detection, using the frame difference method implemented with the image of the refined image morphology.
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帧差法来检测运动的物体，移动哦物体识别的较好的参考资料-Frame-difference method to detect moving objects, moving object recognition better oh reference
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视频帧分析源码，用于车辆检测及车车牌识别，采用背景差分法可直接使用。-Analysis of source video frame for vehicle license plate detection and recognitionn, the background difference method using the full source code can be used directly.
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采用帧间差分法动物体识别，采用双检测线法计数-Frame difference method for animal identification, dual detector line method count
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背景提取，迭代法(Surendra算法）；即采用帧差的方法，一帧图像减去前一帧图像，即可以对比得到图像中变化（移动）的区域，扣除移动的区域，即得到不动的背景。采用多帧图像迭代的方法，得到更加准确的背景。-Background extraction, iterative method (Surendra algorithm) frame difference method is used, an image by subtracting the previous frame, which can
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基于opencv的帧差法目标提取算法。基于vs2008实现-Extraction algorithm based on frame difference method opencv target.
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与帧差法结合的运动目标侦测跟踪算法。基于vs2008实现-Moving target in conjunction with the frame difference method to detect tracking algorithm.
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本文选用了背景减法、帧间差分法和光流法。背景减法是通过将当前帧与背景帧相减得出灰度差值并将此差值与阈值比较判断是否有运动目标。-This paper chose the background subtraction and frame difference method and optical flow method.Background subtraction is through to the current frame and background frame subtraction gr
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用帧差法实现目标检测，C++代码可直接运行。(The frame difference method is used to detect the target, and the C++ code can run directly.)
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基于帧差法与图像块匹配方法的运动目标检测与跟踪，可以实际操作，性能还不错的(The moving target detection and tracking based on the frame difference method and the image block matching method can be actually operated, and the performance is good.)
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