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.
针对运动人体跟踪的部分遮挡问题，提出了一种基于描述符交互的跟踪方法。
In order to deal with part occlusion, a description interaction based moving human tracking approach is put forward.
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.
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.
本文对静止背景下视频序列中的运动人体检测和跟踪方法进行了研究。
This paper discusses detection and tracking of moving human target from static background in video sequences.
针对实时视频中的运动人体目标，提出一种基于人脸肤色和特征的快速人脸检测和跟踪方法。
For fast detecting and tracking human face in real-time video, a method based on the color and character of face was proposed.
它利用传感器来跟踪人体的运动，识别面部，甚至倾听你的语音。
It USES a sensor to track your body movement and recognize your face, even listen to your voice.
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.
首先经过背景去除，把感兴趣的人体目标从图像中提取出来，然后采用基于模型的和非基于模型的两种方法对人体的局部和全身运动进行了跟踪。
Firstly, the human region is extracted from the image by the background subtraction, then model-based and none model-based method are applied to track human motion from body parts to whole body.
运动人体的检测与跟踪是当今计算机视觉领域的研究热点。
The detection and tracking of human motions is one of the most active topics in computer vision.
用混合高斯模型得到运动人体的区域，通过卡尔曼滤波对人体进行跟踪，并利用人体的颜色信息进行识别。
Moving areas about human are segmented by using hybrid Gaussian model as background, tracked by Kalman filter, and recognized by using a color-based model.
合理使用自适应背景颜色模型，能够准确地对人体运动位置进行跟踪。
By using a model of adaptive background color, the kinematic position of human body can be exactly tracked.
运动人体的检测与跟踪是计算机视觉研究的一个重要领域。
The detection and tracking of moving human is a valuable field in computer vision.
并在以上算法基础上，实现了一个实时的运动人体检测与跟踪系统。
Based on above algorithms, a real-time moving human detection and tracking system is implemented.
对于检测到人体头部采用卡尔曼预测和基于目标匹配的数据关联方法进行多运动目标跟踪。
For the detected human heads kalman prediction and data association based on objective matching methods are used to track multiple moving objects.
本文的研究对象是基于视频的人体运动分析即在视频序列中对人体的运动进行跟踪，捕捉和分析。
The object researched in this thesis is video-based human motion analysis that track, capture and analysis human motion in video.
研究对象是基于视频的人体运动功能分析技术，即在视频序列中对人体的运动进行跟踪、捕捉和分析。
The object researched in this thesis is video-based human motion analysis that track, capture and analyze human motion in monocular video.
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.
本文针对人体关节目标跟踪中存在的难点问题，进行了人体关节运动跟踪技术的研究。
For the difficult problems of human joints tracking, the tracking techniques of human joints movement are researched in the dissertation.
这些成果对人体关节运动目标的准确、鲁棒、可靠的跟踪起到了重要的作用。
These results give the important effect for the veracity, robust and reliable tracking of the moving human joints.
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.
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.
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;
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.
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.
应用推荐