Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhancing Human Face Detection Using Motion and Active Contours
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume I - Volume I
Learning Multiscale Image Models of 2D Object Classes
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
Detection of Faces of Various Directions in Complex Backgrounds
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
A Subspace Approach to Face Detection with Support Vector Machines
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Robust Face Detection and Hand Posture Recognition in Color Images for Human-Machine Interaction
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Fuzzy Feature-Based Upper Body Tracking with IP PTZ Camera Control
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Real time tracking using an active pan-tilt-zoom network camera
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
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Since, the basic configuration of the facial caricaturing system PICASSO has been constructed, it is strongly expected to get sufficient input image from a person who is naturally performing in front of the PICASSO camera system. From this viewpoint, we developed a face tracking PC system for capturing sufficient facial image especially in size by means of PTZ (Pan-Tilt-Zoom) camera collaborated with a fixed CCD camera. Irises are successfully recognized from the motion images captured from PTZ camera. These irises can be utilized to provide a key feature for realizing an automated facial recognizing system. In this system, a person performing naturally in pose and in facial expression within the scope of the fixed CCD camera can be stably tracked and the sufficient images in resolution of PTZ camera were successfully analyzed for iris recognition and facial parts extractions.