The Real-Time Face Detection System Under Complex Background and Varying Lighting Condition

• Main Author: 張佑傑
• Other Authors: 李忠謀
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/53806853051876162379

碩士 === 國立臺灣師範大學 === 資訊教育學系 === 94 === Human face detection is an important capabilities in a wide range of applications, such as face recognition, face tracking, and content-based image retrieve. Detecting and locating face in image is a necessary procedure before any future processing. We proposed a real-time face detection system including two gradient-based models. In first stage, two Gaussian mixtures of facial and non-facial weighted gradient distribution are used to roughly locate face in image. For accelerating detecting speed, dynamic interval detection algorithm is proposed to avoid redundant computations. In second stage, spatial gradient relation model is proposed to remove false detection and locate the facial positions precisely. In experimental results, weighted gradient distribution and spatial gradient relation model are proven to robust to different facial pose, expression, and rotation. Proposed methods can achieved detection rate of 91% and 95% respectively in database of BioID and Viplab under complex background and varying light condition. Proposed system can detect faces in 10 frames per second with size of 320×240 on a Intel Pentium M 1.5GHz notebook.