1) frame difference
帧间差
1.
First, gather two frames in image se- quence at the interval of 1s, and separately count the percent of the total pixel numbers of gray frame difference and the later gray frame within the restriction of the separate threshold value against the total pixel numbers of a frame; then fuse the principa.
转炉中不同的钢的化学成分对应着不同的炉口火焰特征,本文先是对炉口序列火焰图像进行特征提取,具体过程是每次采两帧,时间间隔是1s,分别求出帧间差图像经过阈值分割出的像素总数和后一幅图像经过阈值分割出的火焰图像像素总数占整幅图像像素总数的百分比,然后融合后一幅图像的主元作为序列图像的特征。
2.
In this way,the moving targets range in two sensor image sequences are determined by using a frame difference accumulation,and the reliable measure at the moving target range is defined and the fi.
该方法通过帧间差累积,在两种传感器的图像中确定了运动目标区域,定义了运动目标区域可信度度量,利用融合的规则确定了最后的运动区域。
3.
First,two descriptors of color histogram,edge histogram of the adjacent scale wavelet transform are used to describe visual content,and combine to form a frame difference measure of multi-feature integration.
该法首先提取颜色特征、边缘轮廓特征,然后利用多特征融合的帧间差值来捕获视频内容的显著变化,用自适应阈值进行检测,实现关键帧提取。
2) temporal difference
帧间差
1.
Motion estimation algorithm based on temporal difference detection function model;
一种基于帧间差探测函数模型的运动估计算法
2.
A temporal difference based local optical flow method is introduced here,which can combine .
传统视频运动检测常用帧间差、背景差等方法检测图像变化的存在,它们能敏感地给出变化区域,在此基础上可方便提取运动对象的位置和轮廓等静态特性,但并不能直接得到运动对象的速度、方向等运动特性;光流法虽可进一步给出运动场中每个像素位置的运动特性,但它所涉及的计算量庞大,难以直接应用于有实时需求的场合。
3) frame-to-frame difference
帧间差
1.
Firstly,the adaptive frame-to-frame difference method was used to complete the coarse detection for moving object in video sequence images,and the method of Boundary Vector Field(BVF) Snake was used to detect the contours exactly.
该方法首先采用自适应帧间差分法对视频序列图像的运动目标进行粗检测,进而采用BVF(边界矢量场)Snake方法准确地检测出运动目标轮廓;其次获得轮廓质心后,对传统的α-β-γ滤波器进行了改进,实现对运动目标的实时跟踪;最后根据预测的质心位置来自动完成下一帧轮廓初始化。
4) inter-frame difference
帧间差分
1.
In combination of successive inter-frame difference and ostu threshold to segment the pretreated image,we can extract the motion region.
采用连续帧间差分法和最大类间方差阈值分割法提取运动区域,通过数学形态滤波的开运算和闭运算消除噪声,改善运动区域提取效果,然后求出目标重心。
2.
On the bases of the inter-frame difference, we used the motion information of sequence images to extract binary image edges.
该方法利用序列图像的运动信息,在帧间差分的基础上进行二值图像边缘提取,利用人的头肩轮廓特点以及彩色图像的色系坐标变换进行运动的人脸定位。
3.
The moving target can be detected and recognized by inter-frame difference algorithm.
在对帧间差分算法进行分析的基础上,建立了基于帧间差分算法的目标探测识别系统,提出了针对该算法的脉冲光干扰方法。
5) inter-frame differential
帧间差分
1.
The main methods of face tracking were introduced,and a new method based on both inter-frame differential and static character was put forward.
简述了近年来主要的人脸跟踪方法,提出一种基于帧间差分与静态特征相结合的人脸跟踪算法。
6) Frame Difference
帧间差分
1.
This article utilize the visual character that eyes are sensitive to the rim of an image(gratitude of space),we combine detection of movements between frames with detection of the rim of image to improve the frame difference algorithm.
本文利用人眼对边缘(空间梯度)特别敏感的视觉特点,把帧间运动变化检测和图像的边缘检测结合起来,对帧间差分法进行了改进。
2.
At the same time, the research results of global motion estimation is applied to moving objects detection in dynamic sequences, which is realized with background matching and frame difference.
最后,将电子稳像的研究成果应用到摄像机运动-目标运动的目标检测领域中,以实现在背景配准下利用帧间差分确定运动目标的目的。
3.
A novel real-time target detection algorithm based on combining gray correlation frame difference and background difference was presented.
提出了基于灰度相关性帧间差分和背景差分相融合的一种实时目标检测方法。
补充资料：室间变差
分子式：
CAS号：
性质：由于不同实验室或分组因素的影响，使得各组均值之间有差异，可用室间方差来量度。参见室间方差。
CAS号：
性质：由于不同实验室或分组因素的影响，使得各组均值之间有差异，可用室间方差来量度。参见室间方差。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条