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.
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.
人体运动的检测与跟踪是人体生物力学研究的主要内容，近年来日益受到人们的广泛关注。
The detection and tracking of human motion is key to biomechanics, and attach more and more importance recent few years.
介绍了移动机器人的避障规则和单目视觉的运动人体跟踪。
A rule of obstacle avoidance of mobile robot and human motion tracking based on single camera were introduced.
本文的研究主要是针对在单目移动拍摄条件下，跟踪复杂背景中人体的运动，并实现大道速滑跟踪系统。
This thesis focuses on tracking human motion in complex background under monocular mobile shooting, and has implemented the speed skating tracking system.
本文设计的运动摄像头自动跟踪运动人体目标系统现已运行在实验室环境下。
The motion video automatic tracking the motion human body was realized in real-time in laboratory environment.
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.
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。
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.
人体运动分析的主要任务是对视频序列中的人体运动进行跟踪。
Tracking human motion from image sequences is main task for human motion analysis.
在论述了几种方式的人体运动捕捉的基础上，介绍了光学运动捕捉的关键技术，包括摄像机标定、标记点跟踪和三维重建技术。
On the basis of discussion of human body motion capture, the key techniques of optical motion capture are introduced, including camera calibration, marker tracking and 3d reconstruction.
本文将该方法用于人体运动目标的跟踪，基于监控录像中的人体运动目标跟踪实验表明，与现有方法相比，该方法具有很好的鲁棒性及稳定性。
This paper proposed a novel approach for extraction of gait parameters from video image sequences without marker by human motion tracking based on human model.
针对人体运动过程中存在的五种自遮挡现象，分别利用人体下肢在运动过程中的规律和几何关系，部分地解决了肢体运动的自遮挡问题，使跟踪过程更连续；
Geometrical relationship between low limbs and rules of human motion are used to partially solve the problem of self-occlusions, which makes the tracking more continuous;
针对人体运动过程中存在的五种自遮挡现象，分别利用人体下肢在运动过程中的规律和几何关系，部分地解决了肢体运动的自遮挡问题，使跟踪过程更连续；
Geometrical relationship between low limbs and rules of human motion are used to partially solve the problem of self-occlusions, which makes the tracking more continuous;
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