提出了一种基于多模板匹配的一般环境图象中单人脸的检测方法。
This paper develops a multi template matching based method for single face detection in general background images.
低层视觉图象处理是视觉定位的基础，针对环境图象存在噪声干扰的特点，文章分别从时域和频域上分析了图象滤波的方法。
Low level image processing is the base of localization. The paper discusses time domain filtering and frequency domain filtering according to the noise disturbance in the surrounding images.
为了正确检测出运动区域，提出了自适应的背景图象适应外界环境变化的跟踪过程。
To detect moving region , it advances an adaptive background image to adapt to the varying environment in the tracking process.
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