Translator Disclaimer
Paper
8 February 2005 A higher-order-statistics-based approach to face detection
Author Affiliations +
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
8 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Object detection based on LHOG feature matching
Proceedings of SPIE (July 19 2013)
Incremental learning algorithm for face recognition
Proceedings of SPIE (October 29 2018)
Energy conservation using face detection
Proceedings of SPIE (September 30 2011)
Attention trees and semantic paths
Proceedings of SPIE (February 12 2007)
Static hand gesture recognition from a video
Proceedings of SPIE (October 01 2011)

Back to Top