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帧间差的英文

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"帧间差"怎么读用"帧间差"造句

英文翻译手机手机版

  • frame-to-frame differences

例句与用法

  • There are many reports in the first type and these reports mostly base on frame subtraction and background modeling
    静止背景运动检测现有研究较多,主要是采用帧间差法和背景建模法。
  • In uncompressed domain , we analyse the processing and the normal algorithms of scene change detection . a new algorithm for video abrupt shot change detection based on the relation of the partial interframe differences is proposed in this dissertation
    在解压域,系统地分析了解压域镜头边界检测过程和常见的解压域镜头边界检测算法,提出了一种新的解压域镜头突变检测算法:基于局部帧间差相关性的镜头突变检测法。
  • Optical flow field contains not only the moving information of the object , but also three - dimensional information . this paper integrates the inter - frame difference and optical flow methods . the method of inter - frame difference is used to separate moving area from the whole image
    本文将二者相结合,运动目标的第一步检测由帧间差值法完成,同时运用数学形态学方法对差值图像进行过滤和排查,精确提取出多运动目标的运动区域。
  • We propose a simple and fast scheme to detect moving object in complex background which is the combination of inter - frame difference , morphologi - cal filter and optical flow field . it ' s simple and fast to detect moving object using inter - frame difference . however , it ' s lack of precision and moving information
    在众多的运动目标检侧算法中,我们将帧间差值法、数学形态学方法、光流场方法加以结合,提出了一个简单快速的复杂背景下多目标运动区域检测与分割算法。
  • In temporal segmentation a statistical model is used to automatically separate the moving areas from the background in a general video sequence . the spatial segmentation bases on the results of temporal segmentation and using region - growing algorithm in rgb space can locate precise boundary of moving object . lastly , using segment moving object as the initial model , moving object can be tracked by matching an image to a model based on hausdorff distance on a sequence of video , and the model is updated every frame to accommodate for changes in shape
    时间分割中采用连续帧间差的统计假设检验,确定运动对象的位置,自动地分离出运动区域与背景区域;空间分割中则采用基于颜色的区域增长算法来精确地提取运动对象的轮廓;最后,将提取到的运动对象作为模板,对后续的视频序列,用基于hausdorff距离度量匹配,来跟踪并提取后续帧中运动对象。
  • Then used the non - parameter gauss background model to take rolled strips surface blemish is proved to be effective the gradient difference non - parameter gauss background mode subtraction algorithm and the frame difference non - parameter gauss background model subtraction algorithm utilizes were the first time to apply the cold - strip steel surface defect withdraws
    并在非参数高斯背景模型相减算法中分别利用了图像梯度差非参数高斯背景模型相减算法和图像帧间差非参数高斯背景模型相减算法提取冷轧带钢表面缺陷。
  • The quantity and the target - similarity of the background objects make the detection and segmentation even harder . a practical target detection and segmentation algorithm is presented here . it includes two processing steps . first , to match the scene , extract the movement information , and then perform the first time detection based on it
    本文结合此特点,经过简单的摄像机运动估计和场景配准,用帧间差图像提取运动对象的运动信息,并据此进行运动对象运动区域的提取;结合运动对象运动在时间和空间上的相关性进行二次检测。
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