视觉运动分析分为基于特征的方法和基于光流场的方法。
The main ways of visual motion analysis can be classified into feature based and optical flow based.
因此视觉运动分析在军事、工业、商业、医学、气象等领域具有重要的应用前景。
Visual motion analysis is widely used in military, commercial, industrial, medical, meteorological field and so on.
视觉运动分析在机器人视觉系统、资源勘探、基于运动分析的空间卫星跟踪、地对空火控系统等工业和军事领域具有重要的应用前景。
Visual motion analysis is broadly applied to industry and military, such as vision system of robot, resource prospecting, satellite tracking system and the firepower control system.
系统设计的关键技术体现在系统照明环境的设计、摄像头运动追踪机构设计和机器视觉分析算法的实现上。
There are some key technologies in this system: the design of system lighting, movement-organ to trace the pointer, arithmetic of machine vision to analyze image.
近年来，人体运动的跟踪与分析在图像处理与计算机视觉领域引起许多学者的关注。
Human motion tracking and analysis has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years.
对运动视觉分析进行了详细的研究。
我们将学习颜色视觉、适应、眼球运动在视觉分析中的作用、运动知觉、深度知觉和图样知觉。
We will study color vision, adaptation, the role of eye movements in carrying out visual analysis, motion perception, depth perception and pattern perception.
运动人体的检测与跟踪是人运动分析的重要内容，也是计算机视觉研究的重要领域之一。
The detection and tracking of human motions is key to the visual analysis of human movement, it is also one of important fields to computer visions research.
基于机器微视觉的MEMS动态测试系统，利用模糊图像合成技术对MEMS的平面微运动特性参数进行提取和分析。
Based on machine micro-vision dynamic testing system for MEMS, the technique of blur image synthesis is presented to exact and analyze in-plane motion characteristic of MEMS devices.
视频图像中的运动分析是诸多学术领域，包括计算机科学，计算机视觉，人工智能，广泛关注的一个课题。
Motion analysis in video images is a hot topic among many science domain including Computer science, Computer Vision and Artificial Intelligence.
理论分析和仿真检验都表明，该算法明显地提高了预测精度，减缓了图像的抖动和对操作者头部运动的限制，有效地减少了视觉延迟。
Theoretical analysis and simulation showed that this algorithm can improve the prediction precision, reduce the limitation to head motion, and decrease visual delay effectively.
运动图像分析是各种图像处理方法的一种综合应用，也是所有计算机视觉研究的第一步。
Analysis of dynamic images is an integrated application of image - processing approaches, and is the first step of all researches of computer vision.
人体运动视觉分析一般包含运动检测，运动目标分类，人体跟踪，行为理解与描述四个阶段。
In general, the human motion vision analysis includes the follow four steps: motion detection, moving object classification, people tracking, motion 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。
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.
在各种运动项目的训过程中，视觉化动作分析对选手动作的修正调整、解与评估，是一种重要的方式。
In the training processes of a variety of sports activity, visualized motion analysis is an important method for the correction, comment, and evaluation of a player.
人体运动的视觉分析是一个新兴的研究领域，涉及模式识别，图像处理，计算机视觉，人工智能等多门学科。
Human motion vision analysis is a new research direction. It includes many science domains, such as: Pattern Classification, Image Processing, Computer vision and Artificial intelligence, etc.
本发明提出的基于规则声阵列和双目视觉的获取运动声场视频的方法，属于噪声分析和控制技术领域。
The invention provides a method for obtaining movement sound field video, which is based on regular sound array and binocular vision and belongs to the technical field of noise analysis and control.
单目视觉的手势识别系统，通常把人手建模成一个像素或者一块，从整体上分析手势的运动参数并提取表观特征。
Monocular hand gesture recognition systems usually model a human hand as a pixel or a blob by which the motion of the whole hand are analyzed and the appearance features are extracted.
运动物体的检测和分割是计算机视觉分析的一个重要课题。
Detecting and segmenting moving object is an important subject in computer visual analysis.
仿真实验及实际的视觉实验数据分析结果表明，该方法具有较高的校正精度，是一种有效的功能磁共振数据运动校正方法。
Results of implementation based on this method during phantom data and human vision experiments reveal that it is effective to reduce the correction error, which leads to accurate realignment.
基于动态场景分析的计算机视觉系统尤其是对运动目标的运动参数测量已成为计算机视觉研究的热点。
The computer vision system based on dynamic scene analysis has been a key research problem recently, especial for the movement parameters of the moving objects.
基于动态场景分析的计算机视觉系统尤其是对运动目标的运动参数测量已成为计算机视觉研究的热点。
The computer vision system based on dynamic scene analysis has been a key research problem recently, especial for the movement parameters of the moving objects.
应用推荐