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A Fast and Accurate Face Detection and Tracking Method by using Depth Information
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 Title & Authors
A Fast and Accurate Face Detection and Tracking Method by using Depth Information
Bae, Yun-Jin; Choi, Hyun-Jun; Seo, Young-Ho; Kim, Dong-Wook;
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This paper proposes a fast face detection and tracking method which uses depth images as well as RGB images. It consists of the face detection procedure and the face tracking procedure. The face detection method basically uses an existing method, Adaboost, but it reduces the size of the search area by using the depth image. The proposed face tracking method uses a template matching technique and incorporates an early-termination scheme to reduce the execution time further. The results from implementing and experimenting the proposed methods showed that the proposed face detection method takes only about 39% of the execution time of the existing method. The proposed tracking method takes only 2.48ms per frame with resolution. For the exactness, the proposed detection method showed a little lower in detection ratio but in the error ratio, which is for the cases when a detected one as a face is not really a face, the proposed method showed only about 38% of that of the previous method. The proposed face tracking method turned out to have a trade-off relationship between the execution time and the exactness. In all the cases except a special one, the tracking error ratio is as low as about 1%. Therefore, we expect the proposed face detection and tracking methods can be used individually or in combined for many applications that need fast execution and exact detection or tracking.
Adaboost algorithm;Haar-like Feature;face tracking;face detection;depth information;depth camera;
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G, Q, Zhao, et al., "A Simple 3D face Tracking Method based on Depth Information," Int'l Conf. on Machine Learning and Cybernetics, pp. 5022-5027, Aug. 2005.

C. X. Wang and Z. Y. Li, "A New Face Tracking Algorithm Based on Local Binary Pattern and Skin Color Information," ISCSCT, Vol. 2, pp. 20-22, Dec. 2008.

M. H. Yang, et al., "Detecting Faces in Images; A Survey," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 24, No. 1, pp. 34-58, Jan. 2002. crossref(new window)

G. Z. Yang and T. S. Huang, "Human Face Detection in Complex Background," Pattern Recognition, Vol. 27, No. 1, pp. 53-63, Jan. 1994. crossref(new window)

K. C. Yow, R. Cipolla, "Feature-Based Human Face Detection," Image and Vision Computing, Vol. 15, No. 9, pp. 713-735, Sept. 1997. crossref(new window)

Y. Dai and Y. Nakano, "Face-texture Model based on SGLD and its Application in Face Detection in a Color Scene," Pattern Recognition, Vol. 29, No. 6, pp. 1007-1017, June 1996. crossref(new window)

J. Yang and A. Waibel; "A Real-Time Face Tracker," WACV'96, pp. 142-147, 1996.

S. J. McKenna, S. Gong, and Y. Raja; "Modelling Facial Colour and Identity with Gaussian Mixtures," Pattern Recognition, Vol. 31, No. 12, pp. 1883-1892, 1998. crossref(new window)

P. Kakumanu, S. Makrogiannis, and N. Bourbakis, "A Survey of Skin-color Modeling and Detection Methods," Pattern Recognition, Vol. 40, pp. 1106-1122, Mar. 2007. crossref(new window)

R. Kjeldsen and J. Kender, "Finding Skin in Color Images," Proc. Second Int'l Conf. Automatic Face and Gesture Recognition, pp. 312-917, 1996.

L. Craw, D. Tock, and A. Bennett, "Finding Face Features," Proc. Second European Conf. Computer Vision, pp. 92-96, 1992.

M. Turk and A. Pentland, "Eigenfaces for Recognition," Journal of Cognitive Neuroscience, Vol. 3, pp. 71-86, 1991. crossref(new window)

P. N. Belhumeur, et al., "Eigenfaces vs. Fisherfaces: Recognition using Class Specific Linear Projection," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, pp. 711-720, 1997. crossref(new window)

E. Osuna, R. Freund, and F. Girosi, "Training Support Vector Machines: an Application to Face Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 130-136, 1997.

P. Viola and M. J. Jones, "Robust Real-Time Face Detection," Computer Vision, Vol. 52, No. 2, pp. 137-154, 2004.

C. P. Papageorgiou, M. Oren, and T. Poggio, "A General Framework for Object Detection," IEEE Int'l Conf. Computer Vision, pp. 555-562, 1998.

R. Lienhart and J. Maydt, "An Extended Set of Haar-like Features for Rapid Object Detection," Int'l Conf. Image Processing, Vol. 1, pp. 22-25, Sept, 2002.

K. An and M. Chung, "Cognitive face analysis system for future interactive TV," IEEE Trans. Consumer Electronics, Vol. 55, No. 4, pp. 2271-2275, Nov. 2009. crossref(new window)

K. Hariharakrishnan and D. Schonfeld, "Fast object tracking using adaptive block matching," IEEE Trans. Multimedia, vol. 7, no. 5, 2005.

M. Lievin and F. Luthon; "Nonlinear Color Space and Spatiotemporal MRF for Hierarchical Segmentation of Face Features in Video," Proc. IEEE Int'l Conf. Image Processing, pp. 63-71, 2004.

Y. Lin et al., "Real-time Tracking and Pose Estimation with Partitioned Sampling and Relevance Vector Machine," IEEE Intl. Conf. Robotics and Automation, pp. 453-458, 2009.

A. An and M. Chung, "Robust Real-time 3D Head Tracking based on Online Illumination Modeling and its Application to Face Recognition," IEEE Intl. Conf. Intelligent Robots and Systems, pp. 14661471, 2009.

R. Okada, Y. Shirai, and J. Miura, "Tracking a Person with 3-D Motion by Integrating Optical Flow and Depth," Proc. Fourth IEEE Int'l Conf. Automatic Face and Gesture Recognition, pp. 336-341, 2000.

G. Zhao, et al., "A Simple 3D Face Tracking Method based on Depth Information," Intl Conf. Machine Learning and Cybernetics, pp. 5022-5027, 2005.

Y. H. Lee et al., "A Robust Face Tracking using Stereo Camera," SICE Annual Conf., pp. 1985-1989, Sept. 2007.

S. Kosov et al., "Rapid Stereo-vision Enhanced Face Recognition," IEEE Intl. Conf. Image Processing, pp. 2437-2440, Sept. 2010.

J. L. Wilson, Microsoft kinect for Xbox 360, PC Mag. Com, Nov. 10, 2010.

S. Xavier, R.-H. Javier, and Josep R. Casas, "Real-Time Head and Hand Tracking Based on 2.5D Data," IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 14, NO. 3, JUNE 2012

Mauricio Pamplona Segundo, Luciano Silva, Olga Regina Pereira Bellon, and Chaua C. Queirolo, "Automatic Face Segmentation and Facial Landmark Detection in Range Images," IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS-PART B: CYBERNETICS, VOL. 40, NO. 5, OCTOBER 2010

M. Hacker, et al., "Geometric Invariants for Facial Feature Tracking with 3D TOF Cameras," Int'l Symposium on Signals, Circuits and Systems, Vol. 1, pp. 1-4, 2007.

Douglas Chai, et al., "Locating Facial Region of a Head-and -Shoulders Color Image," Int'l Conf. Automatic Face and Gesture Recognition, pp. 124-129, April 1998.

Y. Freund and R. E. Schapire, "A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting," J. Computer and System Sciences, Vol. 55, pp. 119-139, 1997. crossref(new window)

R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3rd Ed., Pearson Prentice Hall, Upper Saddle River, NJ, 2008.