A Novel Approach of Eye Detection Based on Haar-like Feature and SVM

摘要：

　　Recognizing the importance of eye detection technology in face detection and recognition,facial expression recognition,driver fatigue detection,and so on,the current paper presents a novel approach to eye detection in images based on AdaBoost and the Support Vector Machine (SVM).The proposed method can accurately detect eyes with different postures,facial expressions,skin colors,and glasses in a simple background image.First,a Haar-like feature AdaBoost classifier based on the developed training samples is used to detect eyes in images.An SVM post classifier trained by coordinates of the true and pseudo eye rectangles is then used to optimize the results.Experimental results show that the proposed method is fast,robust,and has high generalization capability.

关键词： Eye detection AdaBoost Haar-like feature Support Vector Machine

作者: Yuhang Guo Jie Liu

作者单位: Information Engineering College, Capital Normal University, Beijing, China, 10085

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 1863-1867

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）