Title :
Morphological algorithms for face detection
Author :
Chen, Lei ; Huang, Xian-wu ; Zhong, Xing-rong ; Wang, Jia-jun
Author_Institution :
Sch. of Electron. & Inf. Eng., Soochou Univ., Suzhou, China
Abstract :
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.
Keywords :
Markov processes; face recognition; feature extraction; filtering theory; image segmentation; mathematical morphology; video signal processing; Markov random field; image segmentation; morphological algorithms; moving objects extraction; top-hat filtering; video-based face detection; watershed segmentation algorithms; Data mining; Face detection; Face recognition; Filtering algorithms; Image segmentation; Iterative algorithms; Markov random fields; Morphology; Parameter estimation; Shape;
Conference_Titel :
VLSI Design and Video Technology, 2005. Proceedings of 2005 IEEE International Workshop on
Print_ISBN :
0-7803-9005-9
DOI :
10.1109/IWVDVT.2005.1504563
