Face detection is an important step in many applications such as human face recognition, video conferencing, human computer interfacing etc.
人脸检测在许多应用中都是重要的一个处理阶段，例如人脸识别、电视会议、人机界面等。
This paper proposes a fast face detection method in real-time video.
提出一种实时视频中的快速人脸检测方法。
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。
In addition, a video face detection is implemented to extend the proposed face detection algorithms from still images to moving videos.
本文最后还实现了一个视频人脸检测系统，将人脸检测从静态图片推广到视频的动态检测。
The framework of video abstraction system in compressed domain is described, and main algorithms such as shot change detection, key-frame extraction and face detection are discussed.
给出了压缩域视频摘要系统的结构框架，并对其中的压缩域视频镜头变换检测、关键帧提取和压缩域人脸检测等主要算法进行了讨论。
System consists of three parts, according to data flow in the order, respectively video capture module, face detection and localization module and face recognition module.
系统分为三部分，按数据流程的先后顺序，分别是视频采集模块、人脸检测和定位模块及人脸识别模块。
Face detection find faces information in the video sequence or image and determine facial size, position, trajectory, attitude, and further human face eyes, lips and other features extraction process.
人脸检测是指在视频序列或图像中寻找所有人脸信息，并确定人脸大小、位置、运动轨迹、姿态，进一步对人脸上的眼睛、嘴唇等特征进行提取的过程。
Face detection find faces information in the video sequence or image and determine facial size, position, trajectory, attitude, and further human face eyes, lips and other features extraction process.
人脸检测是指在视频序列或图像中寻找所有人脸信息，并确定人脸大小、位置、运动轨迹、姿态，进一步对人脸上的眼睛、嘴唇等特征进行提取的过程。
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