Share Email Print

Proceedings Paper

A higher-order-statistics-based approach to face detection
Author(s): Chunming Li; Yushan Li; Ruihong Wu; Qiuming Li; Qingde Zhuang; Zhan Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 8 February 2005
PDF: 8 pages
Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); doi: 10.1117/12.576564
Show Author Affiliations
Chunming Li, Xidian Univ. (China)
Hebei Univ. of Science and Technology (China)
Yushan Li, Xidian Univ. (China)
Ruihong Wu, Hebei Univ. of Science and Technology (China)
Qiuming Li, Xingtai Electronic Instrument Factory (China)
Qingde Zhuang, Hebei Univ. of Science and Technology (China)
Zhan Zhang, Hebei Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 5637:
Electronic Imaging and Multimedia Technology IV
Chung-Sheng Li; Minerva M. Yeung, Editor(s)

© SPIE. Terms of Use
Back to Top