Question

求英语高手帮忙翻译

Abstract：Human motion detection based on computer vision is a frontier research topic and is causing an increasing attention in the field of computer vision research．The wavelet transform is used to sharpen the ambiguous edges in human motion image．The shadow’s effect to the image procesing is also removed． The edge extraction can be succesfully realized．This is an efective method for the research of human motion analysis system ．
Key Words：information procesing technique；computer image processing；wavelet transform ；image restoration；shadow removing
Many research results on acquiring human gait data based on computer vision have been used widely in some fields,such as remote identification,gait analysis in healing Medicine,design and assembly of prosthesis legs,ergonomics,virtual reality,athletic performance analysis,the content-based image storage and retrieval，etc．Thus，the research on methods to acquire human gait is one of the most important components in human gait analysis and also a frontier research topic．There are two ways to acquire human gait data nowadays，one of them is based on model and the other is on mark point．The background in the experiment is not restricted for the former，but the mark point can not be tracked accurately， but for the latter,the position and motion trajectory of joints can be distinguished and tracked accurately．As a typical human motion analysis system，some marks should stick on the surface of the human body’s tested joints，and a motionless camera is used to shoot the moving bodyand marks on it.Thus，the detection of human motion can be transformed to the record and analysis of the marks on the sequential images．Capturing of human motion image without ambiguity,noise and shadow is very important for accurate identification and track of the marks．For this reason the affect of illegibility and the shadow in the image are removed，and the marks on the moving human body are detected successfully in this paper．
Image Restoration
1.Model and Algorithm of Image Restoration.The quality of image is always depressed in acquirement,transformation and transfer as the affect from camera,motion or exterior noises,etc.Image restoration is a common technology of image processing．If the model of depressed quality can be known，the image could be restored，and namely， the optimization estimation to the original image could be calculated．The technique of image restoration involves the establishment of the depresed quality model and seeking for its inverse．The depressed quality of image is often due to the sensor noises，the focus-out of optical lens．the motion of camera or moving targets and the lower speed of sampling．The depressed quality of image can be described as follows
In most cases，the quality-depressing process of image can be regarded as an unchangeable linear model，so Eq.

Answer 1

Abstract：Human motion detection based on computer vision is a frontier research topic and is causing an increasing
摘要：基于电脑视觉的人类运动探测是一个前沿的研究课题正在引起电脑影像研究领域的关注。
attention in the field of computer vision research．The wavelet transform is used to sharpen the ambiguous edges in
微波转换被用于锐化人类运动影像的模糊边缘。
human motion image．The shadow’s effect to the image procesing is also removed． The edge extraction can be
阴影在图像处理上的作用被替代。边缘的提取可以被成功的实现。
succesfully realized．This is an efective method for the research of human motion analysis system ．
这是对于人类运动分析系统的研究的有效途径。
Key Words：information procesing technique；computer image processing；wavelet transform ；image restoration；shadow removing
关键字：信息处理技术；电脑图像处理；微波转换；图像恢复；阴影去除；
Many research results on acquiring human gait data based on computer vision have been used widely in some
许多研究成果基于电脑视觉获得人类步态资料已经在许多领域被广泛应用，例如：远程鉴定，康复医学的步法分析，设计和组装假肢，人类工程学，虚拟实现，运动技术性能分析，基于内容的图像存储和获得，等等。
fields,such as remote identification,gait analysis in healing Medicine,design and assembly of prosthesis legs,ergonomics,virtual reality,athletic performance analysis,the content-based image storage and retrieval，etc．Thus，the research on methods to acquire human gait is one of the most important components in human gait analysis
从而，对于获得人类步态方法的研究是人类步态研究中最重要的一部分并且是一个前沿的课题。
and also a frontier research topic．There are two ways to acquire human gait data nowadays，one of them is based on
当今有两种途径或得人类步态资料，其中之一是基于模型，另外一个是基于标记点。
model and the other is on mark point．The background in the experiment is not restricted for the former，but the
试验中的背景不被前者所限制，但是标记点不能被精确的跟踪；对于后者，位置和结合点的运动轨道可以被区分和被精确的跟踪。
mark point can not be tracked accurately， but for the latter,the position and motion trajectory of joints can be distinguished and tracked accurately．As a typical human motion analysis system，some marks should stick on the
作为一个典型的人类运动分析系统，一些标记可以保持在人体的测试结合点表面上，静态的照相机被用于拍摄移动体和作标记。
surface of the human body’s tested joints，and a motionless camera is used to shoot the moving bodyand marks on it.Thus，the detection of human motion can be transformed to the record and analysis of the marks on the sequential
然后，人类运动的监测可以被转换成对记录和连续图像的标记的分析。
images．Capturing of human motion image without ambiguity,noise and shadow is very important for accurate
捕获无模糊、噪音、和阴影的人类运动影像对于精确确认和跟踪标记很重要。
identification and track of the marks．For this reason the affect of illegibility and the shadow in the image are
因为这个原因图像中不可辨认的影响和阴影被去掉，运动的人体标记被成功的探测到纸上。
removed，and the marks on the moving human body are detected successfully in this paper．
Image Restoration
图像恢复
1.Model and Algorithm of Image Restoration.The quality of image is always depressed in acquirement,transformation
图像恢复的模型和运算法则。图像的质量经常会在获得、传输和转换过程中受相机、运动、或者外部噪音等等因素的印象而降低。
and transfer as the affect from camera,motion or exterior noises,etc.Image restoration is a common technology of
图像恢复是图像处理中一个的普遍的技术。如果质量降低的模型已知，图像可以被恢复，也就是，对原图像的最优评价可以进行估计。
image processing．If the model of depressed quality can be known，the image could be restored，and namely， the optimization estimation to the original image could be calculated．The technique of image restoration involves the
图像恢复技术包含质量降低的模型的建立以及寻找他的相反面。质量降低的影像通常是由于传感器噪音，光学镜头的散焦。相机的移动或者目标的移动以及相对较低的取样速度。
establishment of the depreed quality model and seeking for its inverse．The depressed quality of image is often due to the sensor noises，the focus-out of optical lens．the motion of camera or moving targets and the lower speed of sampling．The depressed quality of image can be described as follows
In most cases，the quality-depressing process of image can be regarded as an unchangeable linear model，so Eq.
低质量图像可以被描述如下：

在许多例子中，图像的质量压缩处理可以被认为是不可变换的直线模型。

Answer 2

Sorry buddy, couldn't help, it's too long~~