On this basis, combined with one sort of background updating model, vehicle tracking algorithm is presented through using two-dimension motion estimation technique in dynamic image processing.
在此基础上，使用动态图像处理技术中的二维运动估计技术，结合背景更新模型提出了一种车辆跟踪算法。
Change detection, mapping parameter estimation, moving objects and background detection are used to implement image motion segmentation.
通过变化检测，映射参数估算，运动区域和背景检测来实现运动分割。
In the thesis, the algorithm of background subtracting, frame difference algorithm, motion estimation based on optical flow field and object tracking based on active shape contour are investigated.
本文研究了背景相减算法、差分法、基于光流场的运动估计和基于主动形状模型的目标跟踪算法。
The object of global motion estimation module is to calculate the relative motion vector of adjacent frames' background, that is, the global motion vector.
帧间全局运动估计模块的设计目标是计算相邻帧的背景的相对运动的矢量，这一矢量被称为全局运动矢量。
The fast integer pixel motion estimation algorithm for video sequences which are smooth, vary slowly and have many background blocks is discussed.
首先讨论了针对运动量较小的、包含有大量背景块的视频序列的快速运动估计算法，包括整像素和半像素快速算法。
This system can realize the detection of the non-rigid moving object and the estimation of the background velocity through the Level-Set method and piece-wise smooth motion field constraint.
该系统采用水平集方法，利用分段平滑运动场的约束条件，实现非刚体运动目标检测和背景的运动估算。
From this point, the algorithm is implemented by searching and constructing a background image efficiently. With regard to global motion models, four-parameter estimation model is adopted.
算法从全局运动估计的基础出发，利用背景宏块运动相似性的特点快速建立背景宏块集合并采用常用的四参数全局运动估计模型估计运动参数。
From this point, the algorithm is implemented by searching and constructing a background image efficiently. With regard to global motion models, four-parameter estimation model is adopted.
算法从全局运动估计的基础出发，利用背景宏块运动相似性的特点快速建立背景宏块集合并采用常用的四参数全局运动估计模型估计运动参数。
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