Aimed at insufficiency of traditional template matching technique kinematic analysis software of image sequence of train component crash was developed adopted alterable template matching technique.
针对传统的模板匹配技术的不足，采用变模板匹配技术，开发了列车部件撞击序列图像运动分析软件。
The paper proposes a method of determining the relative states between spacecrafts based on IEKF image sequence analysis and monocular computer vision.
提出了一种基于IEKF序列图像分析的航天器间相对状态单目视觉测量方法。
We put emphasis upon systemic hardware design, discuss the sequence control of CPLD, Register control of image sensor, and hardware exploiture, software realization, empirical analysis of DSPs, etc.
并着重研究了系统的硬件设计，讨论了CPLD的时序控制、图像传感器的寄存器控制以及DSP芯片的硬件开发、软件实现、实验分析等等。
And then, the characteristic of video data and the model structure of video analysis are presented. It is explained how to get the seriate image frame sequence from the video.
其次，分析了视频数据的特点和视频数据处理的层次化结构，并介绍了将视频转化为连续图像帧序列的方法。
Visual analysis of human motion focuses on people from the movement in the image sequence detection, extraction, tracking people and their behavior understanding and description.
人体运动视觉分析的研究内容，就是从包含人运动的图像序列中检测、提取、跟踪人并对其行为进行理解和描述。
A new algorithm is proposed for tracking moving point-source target in a image sequence. It combines motion analysis and multistage hypothesis tracking.
文中提出了将图像流分析与多级假设检验算法相结合的红外序列图像中运动点目标的检测方法。
Based on the analysis of the defect of the traditional iterated image scrambling, a new image scrambling algorithm was proposed based on chaotic sequence and bit exchange.
在分析传统迭代型图像置乱方法不足的基础上，提出一种新的基于混沌序列和位交换的图像置乱算法。
Experiments are carried out on infrared image sequence, and the results verify the analysis ahead.
采用红外图像序列进行了实验，实验结果验证了理论分析的正确性。
A digital image analysis system for metrical film image sequence is described in this paper.
介绍数字式光测胶片图像自动分析系统。
The authors of this paper have put forward the method of automatic recognition of joint points in the human body by means of image sequence analysis and feature extraction.
本文提出用图象序列分析和特征抽取的方法来自动识别人体关节点。
The new method can be applied to the analysis of GPS- supported image sequence to real - time positioning and vision - based navigation and landing.
如果运用于GPS辅助无人机获取的图象分析，可实现实时对地定位和基于视觉的导航、着陆等。
By the analysis of the corresponding theory, an image sequence auto-sorting algorithm based on phase correlation and its optimized algorithm are given.
对相应的理论进行分析，给出了基于相位相关法的图像排序算法以及它的优化算法。
By using image difference and gray stretch technique, image histogram analysis method was used to investigate the movement of particles in image sequence.
利用差分法配合灰度拉伸对颗粒运动图像进行了处理 ，直方图分析表明 ，像素在灰度上的分布特性与颗粒运动的剧烈程度具有相关性。
An algorithm for video sequence analysis and image segmentation by using 3d scene model is presented.
提出一种利用三维场景模型对视频图像进行分析并实现图像分割的方法。
A new algorithm presented here could be used to segment out moving objects in complex backgrounds on the basis of image sequence analysis.
提出了一种利用序列图象从复杂背景中分割动目标图象的新算法。
A new algorithm presented here could be used to segment out moving objects in complex backgrounds on the basis of image sequence analysis.
提出了一种利用序列图象从复杂背景中分割动目标图象的新算法。
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