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首先采用灰度投影匹配进行全局运动估计和补偿，用以消除背景变化的影响；然后由二次差分抽取中间帧解决遮挡问题，通过Fisher 评价函数结合数学形态学填充得到运动对象分割掩膜，同时消除残余噪声以及平滑边缘。该方法在一定范围内较好地解决了遮挡问题，并能够高效快速地得到比较精确的视频对象。-first used for overall projection matching motion estimation and compensation, in order to remove the impact
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这是用vc++开发的一个基于帧间差法检测视频中的运动目标，对学习这个原理的朋友一定有帮助，可以正常使用（需要摄像头）。,This is vc++ to develop an inter-frame difference method based on detection of moving targets in video, on learning the principles of our friends will certainly be helpful, you can use (the
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视频场景切分和关键帧提取是视频摘要技术的两个关键内容-Video scene segmentation and key frame extraction is a video summary of the contents of two key technologies
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用matlab实现了视频的分割，能够读取视频的每一帧，比较相邻两帧的相似度，下把图像分块，比较每一块的相似度-Matlab achieved by video segmentation, can read each video frame, comparing the similarity of two adjacent, under the sub-image blocks, each of the similarity comparison
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mpeg1视频中的I帧以及P帧编码算法在matlab中的模拟-mpeg1 video of I frames, as well as P-frame coding algorithm of the simulation in matlab
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This package contains m-files for the segmentation of a moving foreground from video with a static background
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This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring
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视频运动目标的运动分割，基于帧差和背景减。学术论文。-Video moving target motion segmentation, based on frame difference and background reduction. Xueshulunwen.
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视频运动目标的运动分割，基于帧差和背景减。学术论文。-Video moving target motion segmentation, based on frame difference and background reduction. Xueshulunwen.
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这个程序说明了如何使用基本形态学算子和模糊分析提取视频流信息，并计数大肠杆菌细菌在每个视频帧的数量。请注意，不同的细胞的亮度使得分割的任务更加富有挑战性的。
％版权所有2004-2009 MathWorks公司
％$修订：1.1.6.1.2.2 $ $日期：2010/01/08二十三时36分31秒$-This demo illustrates how to use a combination of basic morphological
operators a
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用matlab实现连续视频的分割与采集，其中用读视频指令把连续的视频转化为一帧一帧的图像，用帧间差分法和背景差分法实现-Matlab for continuous video with the segmentation and the acquisition, including video instruction with the reading of the continuous video into a frame of an image, with the frames and the
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进行了视频人体对象分割技术研究，综合
使用静态图像分割技术与帧间运动检测技术，设计并实现了一个交互
式视频对象分割系统-Human object segmentation for video technology, the integrated use of static image segmentation and inter-frame motion detection technology, design and implementation of an interactive v
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video object segmentation based on accumulated frame differencing
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帧间差法实现视频对象的分割，进行运动目标的检测小程序。-The frame difference method of video object segmentation, moving target detection procedures.
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关于视频结构分析，总结了目前镜头分割、关键帧提出、场景边界检测的方法，基于目前算法存在的缺陷，提出了尺度不变特征变换的方法。-Video structure analysis, summed up the scene boundary detection, shot segmentation, key frame proposed scale invariant feature transform method based on the current algorithm defects.
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对4幅字符图像进行字符分割（基本要求）以及字符识别。或者对一段视频中的每帧图像进行字符分割与识别。-Four character image segmentation of the characters (basic requirements) and character recognition. Each frame in a video character segmentation and recognition.
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基于ffmpeg的视频镜头分割及关键帧提取代码，C-Video shot segmentation based on ffmpeg and key frame extraction code, C++
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这组代码能够提取出交通视频中帧图像中汽车的车牌，能够独立的检测分割显示出车牌，对于车牌识别有很大的帮助。-This set of code to extract the traffic video frame image of car license plate, can the independent testing shows the license plate, segmentation is of great help for the license plate recognition.
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基于内容的视频检索的镜头分割、关键帧提取技术-Content-based retri of video shot segmentation, key frame extraction techniques
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mp4视频分割器，导入jar包后，使用example里面的demo，分割一个mp4文件，只能选取关键帧处分割。
-mp4 video splitter, after importing jar package, using the example inside the demo, split an mp4 file, only key frame segmentation.
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