A higher-order-statistics-based approach to face detection

Chunming Li; Yushan Li; Ruihong Wu; Qiuming Li; Qingde Zhuang; Zhan Zhang

doi:10.1117/12.576564

8 February 2005 A higher-order-statistics-based approach to face detection

Chunming Li, Yushan Li, Ruihong Wu, Qiuming Li, Qingde Zhuang, Zhan Zhang

Author Affiliations +

Proceedings Volume 5637, Electronic Imaging and Multimedia Technology IV; (2005) https://doi.org/10.1117/12.576564
Event: Photonics Asia, 2004, Beijing, China

Abstract

A face detection method based on higher order statistics is proposed in this paper. Firstly, the object model and noise model are established to extract moving object from the background according to the fact that higher order statistics is nonsense to Gaussian noise. Secondly, the improved Sobel operator is used to extract the edge image of moving object. And a projection function is used to detect the face in the edge image. Lastly, PCA(Principle Component Analysis) method is used to do face recognition. The performance of the system is evaluated on the real video sequences. It is shown that the proposed method is simple and robust to the detection of human faces in the video sequences.

Citation Download Citation

Chunming Li, Yushan Li, Ruihong Wu, Qiuming Li, Qingde Zhuang, and Zhan Zhang "A higher-order-statistics-based approach to face detection", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); https://doi.org/10.1117/12.576564

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE