1) frame differential method
帧间差分法
2) detection method of Interframe differentiation
帧间差分检测法
3) interframe difference algorithm
帧间差分算法
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:差分法
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