For fast detecting and tracking human face in real-time video, a method based on the color and character of face was proposed.
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。
In this thesis, a study on face detection and tracking in video is presented.
本文主要研究了视频中的人脸检测及跟踪技术。
This paper has proposed an automatic human face detecting and tracking system where the face image is dynamically retrieved from a video source.
本文提出了一种基于视频的复杂背景下人脸自动检测与实时跟踪方法。
The position of the face can initialize the parameters of face tracker to realize fast face tracking and video object coding.
用检测到的人脸位置来初始化跟踪算法实现快速人脸跟踪；
This paper proposes a new method of detecting and tracking video-based human faces, which includes the aspects of human face detection and object tracking.
本文提出了一种视频人脸的定位与跟踪算法，包括人脸检测和人脸跟踪两个方面。
We realize an algorithm based on minimum features for rapid face modeling from video, by tracking feature points, calibrating exterior parameter, estimating 3D location of feature points.
通过跟踪视频中的特征点，标定相机外参，进而估计特征点的3D位置，实现了基于一段视频中小特征点集的人脸建模算法。
We realize an algorithm based on minimum features for rapid face modeling from video, by tracking feature points, calibrating exterior parameter, estimating 3D location of feature points.
通过跟踪视频中的特征点，标定相机外参，进而估计特征点的3D位置，实现了基于一段视频中小特征点集的人脸建模算法。
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