Morphological algorithms for face detection

被引：1

作者：

Chen, L ^{[1
]}

Huang, XW ^{[1
]}

Zhong, XR ^{[1
]}

Wang, JJ ^{[1
]}

机构：

[1] Soochou Univ, Sch Elect & Informat Engn, Suzhou 215021, Peoples R China

来源：

PROCEEDINGS OF 2005 IEEE INTERNATIONAL WORKSHOP ON VLSI DESIGN AND VIDEO TECHNOLOGY | 2005年

关键词：

face detection; Markov random field(MRF); top-hat filtering; bottom-hat filtering; watershed segmentation;

D O I：

10.1109/IWVDVT.2005.1504563

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents an efficient method for video-based face detection using MRF (Markov random field) and morphology. First, MRF theory is used to extract the moving objects. Then, the top-hat filtering, bottom-hat filtering and watershed segmentation algorithms are employed to segment the image. Finally, the face region is characterized by elliptical shape as an ellipse can approximate the shape of a face. The experimental results show that this approach is very efficient and robust.

引用

页码：109 / 112

页数：4

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