- Research Article
- Open Access
A Novel Face Segmentation Algorithm from a Video Sequence for Real-Time Face Recognition
EURASIP Journal on Advances in Signal Processingvolume 2007, Article number: 051648 (2007)
The first step in an automatic face recognition system is to localize the face region in a cluttered background and carefully segment the face from each frame of a video sequence. In this paper, we propose a fast and efficient algorithm for segmenting a face suitable for recognition from a video sequence. The cluttered background is first subtracted from each frame, in the foreground regions, a coarse face region is found using skin colour. Then using a dynamic template matching approach the face is efficiently segmented. The proposed algorithm is fast and suitable for real-time video sequence. The algorithm is invariant to large scale and pose variation. The segmented face is then handed over to a recognition algorithm based on principal component analysis and linear discriminant analysis. The online face detection, segmentation, and recognition algorithms take an average of 0.06 second on a 3.2 GHz P4 machine.
Yang M-H, Kriegman DJ, Ahuja N: Detecting faces in images: a survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 2002,24(1):34-58. 10.1109/34.982883
Vezhnevets V, Sazonov V, Andreeva A: A survey on pixel-based skin color detection techniques. Proceedings of the International Conference on Computer Graphics (GRAPHICON '03), September 2003, Moscow, Russia 85–92.
Wren CR, Azarbayejani A, Darrell T, Pentland AP: Pfinder: real-time tracking of the human body. IEEE Transactions on Pattern Analysis and Machine Intelligence 1997,19(7):780-785. 10.1109/34.598236
Stauffer C, Grimson WEL: Adaptive background mixture models for real-time tracking. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '99), June 1999, Fort Collins, Colo, USA 2: 246–252.
Turk M, Pentland A: Eigenfaces for recognition. Journal of Cognitive Neuroscience 1991,3(1):71-86. 10.1162/jocn.19220.127.116.11
Belhumeur PN, Hespanha JP, Kriegman DJ: Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. Proceedings of the 4th European Conference on Computer Vision (ECCV '96), April 1996, Cambridge, UK 1: 45–58.