However , gait is a relatively new and emergent behavioral biometric , and gait recognition has received growing interest within the computer vision community recently , is currently the active research topic in the domain of visual analysis of human motion 尽管如此,步态识别作为生物特征识别技术中的一个新兴领域,目前引起了视觉研究者的浓厚兴趣,成为近年来计算机视觉领域中备受关注的前沿方向,是人运动视觉分析的重要内容。
In this thesis , by changing the position of laser , increasing the operation velocity and adding the experimental materiel , the images data under the different operational condition are gotten . visual analysis of the different area of flow field is done , using a serial of images about the typical sate of flow field 试验过程中,通过改变激光器照射截面,提高操作风速,变化物料高度,获得不同工况下的图像数据,并针对不同的流动区域,将获得的典型流动状态的连续图像进行了可视化分析。
The dissertation puts forward some viewpoints based on the domestic and overseas theoretic researchs and practices related to the locating supermarket . based on the analysis the indexes of the location of supermarket , we pay more attention to three application analytical indexes : spatial distribution of population numbers , traffic accessibility , competition between different firms , having realized the quantitative and visual analysis of the market area 本篇论文基于gis技术结合国内外关于超市选址的相关研究成果,对超级市场选址规划进行了有益的探索。论文通过对超级市场选址相关因素的分析研究,综合考虑了人口的空间分布、交通可达性、现有零售商业竞争态势等因素,实现了超市商圈分析的定量化。
The visual description methods for feature transformation of transitional state are presented . taken different objectives and different applications into consideration , 3 typical physical transform modes are extracted as expanding ( shrinking ) transformation , discretizing ( merging ) transformation and spanning transformation , then the correlative graphical displaying methods are offered for dynamic visual analysis during the gradual feature evolvement . the geometric simplification method for transitional state based on the th distance is put forward 提出了面向过渡状态特征转化的可视化描述方法,着重研究了过渡状态的扩张(收缩)转化、过渡状态的离散(合并)转化与过渡状态的跨界转化等三种典型的转化行为,给出了各种转化过程中的特征刻画与图形显示方法,为过渡状态渐变过程的动态考察提供了有力的可视化分析工具。
Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years . it has a lot of applications in virtual reality , smart surveillance system , advanced user interface , motion analysis and video compressing , etc . this paper focuses on the technology of human motion tracking based on video , first , we make a summarization of the domestic and overseas status of the research in this field . on the basis of this , we analyse the technical difficulties of human motion tracking . as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention , and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs , this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences , in which we analyse the features of walking people , track the five joints of lower limbs , get various parameters , and then re - construct the walking process . the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton . first we divide the video into continuous image sequences , after background subtraction , the satisfying human region could be extracted , then we get a single - connected region by converting the rgb image to binary image and median filtering . afterwards , the contour of lower limbs in the frame with a widest boundingbox is detected , using sobel operator , to find the ankle joint of leg behind according to the features and rules of walking , then , the joint of knee of leg behind , hip , ankle of leg in front , knee of leg in front could be got in turn . so , model of leg skeleton is constructed 首先将视频分解成许多连续的静态图像帧,经过背景去除,把感兴趣的人体区域提取出来,通过二值化,中值滤波等预处理方法得到只有人体的一个单连通区域,然后用sobel算子检测出boundingbox最宽帧中人体下半身的轮廓,根据运动规律及特征找到后腿踝关节点,结合从boundingbox最窄帧中所获取的腿长依次得到后腿膝关节,跨部关节,前腿踝关节,前腿膝关节四点,从而构建出腿部骨架模型。 2 )实现了人体步行腿部骨架的跟踪算法。在完成对腿部骨架模型的自动初始化之后,本文对跨关节、膝关节及踝关节分别采用运动建模、圆周相交定点算法、运动预测及预测点周围搜索rgb相似矩形块三种方法确定每一帧中其实际坐标,从而重构出腿部骨架的运动过程。