ABSTRACT
This paper presents a work that is part of the system for creation of real-faced avatar for emphatic communication. We have made a new extension of the KL T (Kanade-Lucas-Tomasi) face tracker. which is robust against loss of the tracked points. Stochastic skin-color model is used for a face segmentation in the frames contained in a video sequence. Ellipse-fitting is used for selection of the face candidates because of the elliptical face shape. The proposed method achieved real-time performance The results seem very promising.
- {1} P. Kubini, S. Stanek. Real-Faced Avatars. EUROPRIX Scholars Conference 2002, Understanding the Future of European e-Content, Finland, 2002.Google Scholar
- {2} G. Yang, A. Waibel. A Real-time Face Tracker. Workshop on Applications of Computer Vision, pp. 142-147, 1996. Google ScholarDigital Library
- {3} S. Spors, R. Rabenstein. A Real-time Face Tracker for Color Video. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), USA, Salt Lake City, May 2001. Google ScholarDigital Library
- {4} N. Oliver, A. Pentland, F. Berard. LAFTER: Lips and Face real-time Tracker with Facial Expression Recognition. Proc. of Computer Vision and Pattern Recognition Conference, 1997. Google ScholarDigital Library
- {5} C. Wren, A. Azarbayejani, T. Darell, A. Pentland. Pfinder: Real-time Tracking of the Human Body. Proc. SPIE, vol. 2615, pp. 89-98, 1996. Google ScholarDigital Library
- {6} J. Ahlberg. Using the Active Appearance Algorithm for Face and Facial Feature Tracking. IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, Canada, 2001. Google ScholarDigital Library
- {7} A.W. Senior. Recognizing Faces in Broadcast Video. IEEE Workshop on Real-Time Analysis and Tracking of Face and Gesture in Real-Time Systems, Greece, 1999. Google ScholarDigital Library
- {8} B.D. Lucas, T. Kanade. An Iterative Image Registration Technique with an Application to Stereo Vision. In Proc. of the 7th International Joint Conference on Artificial Intelligence, 1981.Google ScholarDigital Library
- {9} C. Tomasi and 7. Kanade. Detection and Tracking of Feature Points. Carnegie Mellon University Technical Report CMU-CS-91-132, Pittsburgh, PA, 1991.Google Scholar
- {10} R. Kjeidsen and J. Kender. Finding Skin in Color Images. In 2nd Int. Conf. on Automatic Face and Gesture Recognition, 1996. Google ScholarDigital Library
- {11} D.W. Wagener, B. Herbst. Face Tracking: An Implementation of the Kanade-Lucas-Tomasi Tracking Algorithm.Google Scholar
- {12} H. Chang, U. Robles. Facedetection. http://wwws.students.Stanford.edu/~robles/ ee368/skincolor.htmlGoogle Scholar
- {13} D.W. Wagener, B. Herbst. Face Tracking: An Implementation of the Kanade-Lucas-Tomasi Tracking Algorithm.Google Scholar
- {14} Image sequences download and FaceStation demo. www.eyematic.com/products facestaticn.htmlGoogle Scholar
- {15} K. Sobottka and I. Pitas. Extraction of facial regions and features using color and shape information. In Int. Conf. on Pattern Recognition (ICIP), Vienna, Austria, August 1996.Google ScholarCross Ref
Index Terms
- Face tracking for expressions simulations
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