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.
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.
基于人体模型的跟踪方法易于实现视频的运动人体跟踪，而且利用较少的视频帧数即可学习获得人体模型。
The tracking method based on a people model contributes to realizing the kinetic people tracking for a given video, and it can learn the people model by using much less frames of the video.
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.
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.
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.
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.
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.
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.
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