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A Hybrid Face Detection System using combination of Appearance-based and Feature-based methods

机译:结合了基于外观和基于特征的方法的混合人脸检测系统

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摘要

Human face detection is preliminary required step of face recognition systems as well as a very important task in many applications, such as security access control systems, video surveillance, human computer interface and image database management. This paper intends to combine Viola and Jones face detection method with a color-based method to propose an improved face detection method. Experimental results show that our method efficiently decreased false positive rate and subsequently increased accuracy of the face detection system especially in complex background images. Also our proposed method considerably increased face detection speed.
机译:人脸检测是人脸识别系统的基本步骤,也是许多应用程序中非常重要的任务,例如安全访问控制系统,视频监视,人机界面和图像数据库管理。本文打算将中提琴和琼斯的面部检测方法与基于颜色的方法相结合,以提出一种改进的面部检测方法。实验结果表明,我们的方法有效地降低了假阳性率,从而提高了面部检测系统的准确性,尤其是在复杂背景图像中。同样,我们提出的方法大大提高了人脸检测速度。

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