Face tracking for expressions simulations
CompSysTech '03 Proceedings of the 4th international conference conference on Computer systems and technologies: e-Learning
Face tracking in color video sequences
SCCG '03 Proceedings of the 19th spring conference on Computer graphics
Face detection and facial feature localization without considering the appearance of image context
Image and Vision Computing
A simple and effective real-time eyes detection human detection without training procedure
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
IEICE - Transactions on Information and Systems
Tracking multiple people with recovery from partial and total occlusion
Pattern Recognition
Refining face tracking with integral projections
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Probabilistic face tracking using boosted multi-view detector
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
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This paper presents a face localization and tracking algorithm which is based upon skin color detection and principal component analysis (PCA) based eye localization. Skin color segmentation is performed using statistical models for human skin color. The skin color segmentation task results in a mask marking the skin color regions in the actual frame, which is further used to compute the position and size of the dominant facial region utilizing a robust statistics-based localization method. To improve the results of skin color segmentation, a foreground/background segmentation and an adaptive background update scheme are added. Additionally, the derived face position is tracked with a Kalman filter. To overcome the problem of skin color ambiguity, an eye detection algorithm based on PCA is presented.