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.
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。
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 the research on farther intelligent processing based on tracking result, a HMM based method used for statistic, analysis, and identifying the object's motion behavior is proposed.
在利用运动跟踪结果实现进一步智能处理的研究中，提出一种基于HMM、对目标运动行为进行统计分析及识别的方法。
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。
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.
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。
As an essential part of the human motion analysis system, the research in people detecting and tracking can provide broad potential use in the future and economic benefits to the society.
人体运动目标的检测与跟踪使视觉跟踪的重要部分，它在未来研究领域中将有广阔的前景并能带来巨大的社会效益。
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。
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。
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