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视频分割技术概观。对于视频分割技术方面的研究，很有用的-video segmentation Technical Overview. Video Segmentation for the technical aspects of the research, very useful
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快速视频分割算法
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基于小波的视频分割
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为了对光线变化的图像进行顺利侵害，提出了一
种利用贝叶斯学习方法来进行视频图像分割的算法，印先在每个像素点处对不断变化的背景建模，同时计算每个像素点
处的颜色直方图，再用这些直方图来表示该像素点处特征向量的概率分布，然后用贝叶斯学习方法来进行判断，以确定在光线缓慢或者突然变化的时候，每个像素点是属于前景还是属于背景。-In order to change the image of light against a smooth, a Bayesian learning approach t
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Adaptive Color Background Modeling
for Real-Time Segmentation of Video Streams
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一种改进的光流算法,智能图象,目标跟踪,视频分割-An improved optical flow algorithm, intelligent image, target tracking, video segmentation
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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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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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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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结合了背影恢复技术和目标跟踪技术进行视频分割算法，分背景重建、运动目标提取、跟踪技术的使用和后处理4个步骤-Combined with the back of recovery techniques and target tracking technology for video segmentation algorithm, sub-background reconstruction, moving object extraction, tracking the use and post-pr
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ROBUST MOTION SEGMENTATION FOR HIGH DEFINITION VIDEO SEQUENCES
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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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这是一篇关于视频序列人脸图像分割与识别技术研究的文章-This is a video sequence of image segmentation and face recognition technology research articles
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This paperpresent a novel framework for inferring global behaviour patterns through modelling behaviour correlations in a wide-area scene and detecting any
anomaly in behaviours occurring both locally and globally. Specifically,
This paperpropose
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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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这是一篇关于多个物体类的协同分割应用到视频分割的论文。-Multi-Class Video Co-Segmentation with a Generative Multi-Video Model ；2013 IEEE Conference on Computer Vision and Pattern Recognition
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Image AND Video Segmentation Current Status
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The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimen
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