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背景帧差法的最简单Matlab源代码，对初学者有很大的启发-Background frame difference Matlab source code for the most simple, a great inspiration for beginners
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一个基于帧间差分的目标跟踪matlab源代码，解压后可直接运行，对学习跟踪有重大帮助-Frame difference of a target tracking based on matlab source code, extract can be directly run a major help in learning track
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运动估计是视频编码的关键技术，其最基本的原理是利用相邻帧间的时间
相关性，通过预测来减少时间冗余度。在实际编码中，为了节省码率，并不传
输每一帧的全部数据，而是利用运动估计求出每一帧与其预测参考帧之间的差
值。运动估计越准确，差值的分布越趋近与零，差值块的能量越小，经过变换、
量化和熵编码后所产生的码流的比特位率也越少。因此，运动估计搜索的准确
程度直接影响到了编码的压缩性能。
-Motion estimation is the key to video encodin
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我的毕业设计，用matlab编的关键帧提取的代码，参考了光流法的代码。是基于帧差的欧式距离，均值，方差，差异系数下的关键帧提取。代码调试通过，运行结果理想，与大家分享下。-I graduated from design, matlab key frame extraction for the code, with reference to code optical flow method. Frame difference is based on the Euclidean distance,
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目标跟踪matlab源代码，通过当前帧预测区域的信息同背景图像的信息的内容相差，可以很好的实现运动目标的跟踪。-Target tracking matlab source code, through the regional information predict the current frame image with the background information on the contents of the difference, you can achieve a good tra
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视频帧差算法实现的背景减除。matlab代码。-Video frame difference algorithm of background subtraction. matlab code.
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这是基于帧差法对运动目标检测的代码 希望对大家有用-This is based on frame difference of the moving target detection code
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基于帧差法的运动目标检测的matlab代码-Frame difference method based on moving object detection matlab code
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MATLAB code frame difference from a video
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很好的基于帧间差分的目标跟踪检测算法matlab代码，里面含有测试视频！-Good target tracking based on frame difference detection algorithm matlab code, which contains a test video!
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帧差发源代码，来自matlab中文论坛，毕业设计需要-The frame difference originated code from Matlab Chinese Forum, graduation design needs
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同学的毕业设计，用matlab编的关键帧提取的代码，参考了光流法的代码。是基于帧差的欧式距离，均值，方差，差异系数下的关键帧提取。代码调试通过，运行结果理想，与大家分享下-Students graduating from the design using matlab key frame extraction code, reference optical flow method code. Frame difference is based on the Euclidean distance,
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本程序采用matlab编码，一共有包括帧间差分法、背景差分法、光流法、混合高斯模型法四种方法来实现红外目标检测的功能，代码检测易懂，适合初学者多多借鉴~-This procedure using matlab coding, a total including the inter-frame difference, background subtraction, optical flow method, Gaussian mixture model approach are four ways
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源代码在matlab实现相邻帧间差分法对于视频中对移动目标的识别。附送视频，在matlab上能打开的视频只有无压缩的AVI视频。视频背景没有变化的情况下，处理效果很好。-The source code in matlab between adjacent frame difference method for the recognition of moving target in the video. Attached to the video, can open the video on th
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视频读取及基于帧差法的背景提取，matlab代码运行-Read and extract video frame difference method based on background, matlab code to run
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matlab源代码，基于帧间差分法的运动目标检测，包含说明文档。-matlab source code, based on inter-frame difference method to detect moving objects, including documentation.
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用matlab编的关键帧提取的代码，是基于帧差的欧式距离，均值，方差，差异系数下的关键帧提取。-matlab key frame extraction for the code, with reference to code optical flow method. Frame difference is based on the Euclidean distance, the mean, variance, difference coefficient under the key frame
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基于matlab，利用帧间差分法实现运动目标的检测，本代码适用于新版本的matlab，不用使用者重新修改。在MATLAB2014a编译通过-Based on matlab, using inter-frame difference method to detect moving objects, this code applies a new version of matlab, the user need not re-edit. In MATLAB2014a compiler
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非常完整的帧差法多目标跟踪Matlab代码，并提供了完整的文档介绍，非常适合初学者学习。注：运行时要改一下文件路径，以及把视频文件转成图像序列输入。(Very complete frame difference method, multi-target tracking Matlab code, and provides a complete documentation, very suitable for beginners to learn. Note: at run time, you c
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在Matlab平台下读取avi视频文件，然后进行基于邻帧差法的视频运动目标检测(Avi video files are read under the Matlab platform, and then the moving object detection is carried out based on the adjacent frame difference method .)
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