本文在总结和分析现有人脸检测技术的基础上，重点研究了基于矩形特征的人脸检测技术及以此为基础并结合运动信息的动态人脸检测技术。
Relying on the analysis of existed face detection techniques, this paper mainly describes face detection based on rectangle feature and dynamic face detection combined with motion information.
此外，人脸检测技术有助于把他们每个人都面临着最好的，而超级平稳摄像光学图像稳定系统有助于确保图像仍然尖锐和正确的。
Additionally, face Detection technology helps everyone put their best face forward, while the Super SteadyShot optical image stabilization system helps ensure images remain sharp and true.
研究了利用颜色直方图、颜色边缘幅值和边缘方向直方图特征，基于支撑向量分类器的检测人脸技术。
This paper studies the human face detection by support vector classifier using histograms of color, color edge and its orientation.
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