Real-time detection of human faces in uncontrolled environments
Real-time detection of human faces in uncontrolled environments
复制标题
在不受控制的环境中实时检测人脸
DOI：
--
复制
发表时间：
1997
期刊：
影响因子：
--
通讯作者：
M. Hayes
中科院分区：
文献类型：
--
作者：
A. Nefian;M. Khosravi;M. Hayes
本文提出了一种在实时且不受控制的环境中检测人脸和眼睛的方法。该系统借助简单的商用设备，如NTSC摄像机和单色图像采集卡，在PC平台上得以实现。这种方法基于一个概率框架，该框架使用可变形模板模型来描述人脸。该系统在头部 - 肩部序列以及包含多人和随机运动的复杂场景中都进行了测试。该系统能够从不同的头部姿势中定位眼睛。眼睛位置所提供的信息被用于从视频序列中提取正面姿势的人脸。提取出的正面帧可以传递给识别和分类系统以进行进一步处理。
This paper presents an approach for the detection of human face and eyes in real time and in uncontrolled environments. The system has been implemented on a PC platform with the aid of simple commercial devices such as an NTSC video camera and a monochrome frame grabber. The approach is based on a probabilistic framework that uses a deformable template model to describe the human face. The systems has been tested on both head-and-shoulder sequences as well as complex scenes with multiple people and random motion. The system is able to locate the eyes from different head poses. The information provided by the location of the eyes is used to extract faces with frontal pose from a video sequence. The extracted frontal frames can be passed to recognition and classification systems for further processing.