Definition
Face detection and tracking are techniques for locating faces in images and video sequences; face recognition is a technique for identifying or verifying unknown people using a stored database of known faces.
Introduction
Human face processing techniques for broadcast video, including face detection, tracking, and recognition, has attracted a lot of research interest because of its value in various applications, such as video structuring, indexing, retrieval, and summarization. The main reason for this is that the human face provides rich information for spotting the appearance of certain people of interest, such as government leaders in news video, the pitcher in a baseball video, or a hero in a movie, and is the basis for interpreting facts.
Face processing techniques have several applications. For example, Name-It [1] aims to associate names and faces appearing in...
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References
S. Satoh, Y. Nakamura, and T. Kanade, “Name-It: Naming and Detecting Faces in News Videos,” IEEE MultiMedia, Vol. 6, No. 1, January–March 1999, pp. 22–35.
D.-D. Le, S. Satoh, M.E. Houle, and D.P. Nguyen, “Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis,” Proceedings of the Second IEEE International Workshop on Multimedia Databases and Data Management, pp. 127–136, 2007.
M.-H. Yang, D. Kriegman, and N. Ahuja, “Detecting Faces in Images: A Survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 1, January 2002, pp. 34–58.
P. Viola and M. Jones, “Rapid Object Detection Using a Boosted Cascade of Simple Features,” Proceedings of the International Conference on Computer Vision and Pattern Recognition, Vol. 1, 2001, pp. 511–518.
H. Rowley, S. Baluja, and T. Kanade, “Neural Network-Based Face Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 1, January 1998, pp. 23–38.
A. Hadid, M. Pietikainen, and T. Ahonen, “A Discriminative Feature Space for Detecting and Recognizing Faces,” Proceedings of the International Conference on Computer Vision and Pattern Recognition, Vol. 2, 2004, pp. 797–804.
K. Levi and Y. Weiss, “Learning Object Detection from a Small Number of Examples: The Importance of Good Features,” Proceedings of the International Conference on Computer Vision and Pattern Recognition, Vol. 2, 2004, pp. 53–60.
C. Huang, H. Ai, Y. Li, and S. Lao, “Vector Boosting for Rotation Invariant Multi-View Face Detection,” Proceedings of the International Conference on Computer Vision, Vol. 1, 2005, pp. 446–453.
Sivic, M. Everingham, and A. Zisserman, “Person Spotting: Video Shot Retrieval for Face Sets,” Proceedings of the International Conference on Image and Video Retrieval, pp. 226–236, 2005.
M. Everingham, J. Sivic, and A. Zisserman, “Hello, My name is…Buffy’ – Automatic Naming of Characters in Tv Video,” Proceedings of the British Machine Vision Conference, 2006.
R. Choudhury, C. Schmid, and K. Mikolajczyk, “Face Detection and Tracking in a Video by Propagating Detection Probabilities,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 10, 2003, pp. 1215–1228.
G. Boccignone, V. Caggiano, G.D. Fiore, and A. Marcelli, “Probabilistic Detection and Tracking of Faces in Video,” Proceedings of the International Conference on Image Analysis and Processing, pp. 687–694, 2005.
Y. Li, H. Ai, C. Huang, and S. Lao, “Robust Head Tracking with Particles Based on Multiple Cues Fusion,” ECCV Workshop on HCI, pp. 29–39, 2006.
E. Arnaud, B. Fauvet, É. Mémin, and P. Bouthemy, “A Robust and Automatic Face Tracker Dedicated to Broadcast Videos,” Proceedings of the International Conference on Image Processing, pp. 429–432, 2005.
Z. Zhu and Q. Ji, “Robust Real-Time Eye Detection and Tracking Under Variable Lighting Conditions and Various Face Orientations,” Computer Vision and Image Understanding, Vol. 98, No. 1, April 2005, pp. 124–154.
Y. Tong, Y. Wang, Z. Zhu, and Q. Ji, “Robust Facial Feature Tracking Under Varying Face Pose and Facial Expression,” Pattern Recognition, Vol. 40, No. 11, November 2007, pp. 3195–3208.
F. Dornaika and J. Ahlberg, “Fast and Reliable Active Appearance Model Search for 3-D Face Tracking,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 34, No. 4, 2004, pp. 1838–1853.
F. Dornaika and F. Davoine, “On Appearance Based Face and Facial Action Tracking,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 16, No. 9, 2006, pp. 1107–1124.
W. Zhao, R. Chellappa, P.J. Phillips, and A. Rosenfeld, “Face Recognition: A Literature Survey,” ACM Computing Surveys, Vol. 35, No. 4, 2003, pp. 399–458.
O. Arandjelovic and A. Zisserman, “Automatic Face Recognition for Film Character Retrieval in Feature-Length Films,” Proceedings of the International Conference on Computer Vision and Pattern Recognition, Vol. 1, 2005, pp. 860–867.
S. Satoh, “Comparative Evaluation of Face Sequence Matching for Content-Based Video Access,” Proceedings of the International Conference on Automatic Face and Gesture Recognition, pp. 163–168, 2000.
O. Arandjelovic and R. Cipolla, “Automatic Cast Listing in Feature-Length Films with Anisotropic Manifold Space,” in Proc. Intl. Conf. on Computer Vision and Pattern Recognition, vol. 2, 2006, pp. 1513–1520.
J. Yang and A.G. Hauptmann, “Naming every individual in news video monologues,” in Proc. ACM Int. Conf. on Multimedia, 2004, pp. 580–587.
O. Arandjelovic, G. Shakhnarovich, J. Fisher, R. Cipolla, and T. Darrell, “Face Recognition with Image Sets Using Manifold Density Divergence,” Proceedings of the International Conference on Computer Vision and Pattern Recognition, Vol. 1, 2005, pp. 581–588.
M. Turk and A. Pentland, “Face Recognition Using Eigenfaces,” Proceedings of the International Conference on Computer Vision and Pattern Recognition, pp. 586–591, 1991.
O. Yamaguchi, K. Fukui, and K. Maeda, “Face Recognition Using Temporal Image Sequence,” Proceedings of the International Conference on Automatic Face and Gesture Recognition, pp. 318–323, 1998.
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Le, DD., Wu, X., Satoh, S. (2008). Face Detection, Tracking, and Recognition for Broadcast Video. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_79
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DOI: https://doi.org/10.1007/978-0-387-78414-4_79
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