5
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Evolutionary Video Processing for Lip Tracking

, , , &
Pages 111-125 | Received 31 Oct 2006, Accepted 15 May 2007, Published online: 21 Feb 2013

References

  • A. Birk and H. Kenn, “Roboguard, a teleoperated mobile security robot,” Control Engineering Practice, Vol. 10, No. 11, pp. 1259–1264, 2002.
  • W. E. Green and P. Y. Oh, “An aerial robot prototype for situational awareness in closed quarters,” Proc. of the 2003 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Vol.l, pp. 61–66, Las Vegas, 2003.
  • J.-C. Zufferey, D. Floreano, M. van Leeuwen, and T. Merenda, “Evolving vision-based flying robots,” Proc. of the Second International Workshop on Biologically Motivated Computer Vision, pp. 592–600, Germany, 2002.
  • T. J. Wark and S. Sridharan, “Adaptive fusion of speech and lip information for robust speaker dentification,” Digital Signal Processing, Vol.l 1, No.3, pp. 169–186, 2001.
  • J. Luettin, N. A. Thacker, and S. W. Beet, “Speaker identification by lipreading,” Proc. of the 4th International Conf. on Spoken Language Processing, Vol. 1, pp. 62–65, Philadelphia, 1996.
  • U. Kremer, J. Hicks, and J. M. Rehg, “A compilation framework for power and energy management on mobile computers,” Proc. of the 14th Int. Workshop on Parallel Computing, pp. 115–131, Cumberland Falls, 2001.
  • H. McGurk and J. MacDonald, “Hearing lips and seeing voices,” Nature, Vol. 264, No. 5588, pp. 746–748, 1976.
  • S. Windmann, “Effects of sentence context and expectation on the mcgurk illusion,” Journal of Memory and Language, Vol. 50, No. 2, pp. 212–230, 2004.
  • I. R. Olson, J. C. Gatenby, and J. C. Gore, “A comparison of bound and unbound audio-visual information processing in the human cerebral cortex,” Cognitive Brain Research, Vol. 14, No. 1, pp. 129–138, 2002.
  • M. Liévin, P. Delmas, P. Coulon, F. Luthon, and V. Fristot, “Automatic lip tracking: Bayesian segmentation and active contours in a cooperative scheme,” Proc. of IEEE Int. Conf. on Multimedia Computer and Systems, Vol. 1, Firenze, Italy, June 1999, pp. 691–696.
  • T. W. Lewis and D. M. W. Powers, “Lip feature extraction using red exclusion,” in Selected papers from Pan-Sydney Workshop on Visual Information Processing}, ser. Conf. in Research and Practice in Information Technology, Vol. 2, pp. 61–67, Australia, 2001.
  • J. Luettin, N. A. Thacker, and S. W. Beet, “Visual speech recognition using active shape models and hidden markov models,” Proc. of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Vol. 2, pp. 817–820, Atlanta, 1996.
  • L. Revéret, “From raw image of the lips to articulatory parameters: A viseme-based prediction,” Proc. of the 5th biennial European Conf. on Speech Communication and Technology, pp. 2011–2014, Greece, 1997.
  • R. Séguier and N. Cladel, “Multiobjectives genetic snakes application on audio-visual speech recognition,” Proc. of the 4th EURASIP Conf. focused on Video/Image Processing and Multimedia Communications, pp. 625–630, Croatia, 2003.
  • C. Bregler and Y. Konig, ““eigenlips” for robust speech recognition,” in Proc. of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Vol. ii, pp. II/669–II/672, Australia, 1994.
  • L. L. Otis, D. Piao, C. W. Gibson, and Q. Zhu, “Quantifying labial blood flow using optical doppler tomography,” Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology, Vol. 98, No. 2, pp. 189–194, 2004.
  • J. Hugh M. Gloster, “The use of second-intention healing for partial-thickness Mohs defects involving the vermilion and/or mucosal surfaces of the lip,” Journal of the American Academy of Dermatology, Vol. 47, No. 6, pp. 893–897, 2002.
  • S. Weitzul and R. S. Taylor, “Lip reconstruction,” eMedicine Journal, 2002. [Online]. Available: http://www.eedicine.com/derm/topic844.htm.
  • B. Jahan-Parwar and K Blackwell, “Lips and perioral region anatomy,” eMedicine Journal, 2002. [Online]. Available: http://www.emedicine.com/ ent/topic7.htm.
  • T. Akashi, Y. Mitsukura, M. Fukumi, and N. Akamatsu, “Genetic lips extraction method for varying shape,” IEEJ Transactions on Electronics, Information and Systems (Japanese Edition), Vol. 124-C, No. 1, pp. 128–137, 2004, (in Japanese).
  • T. Akashi, M. Fukumi, and N. Akamatsu, “Accuracy and speed improvement in lips region extraction,” Proc. of the 8th Australian and New Zealand Conf. on Intelligent Information Systems, pp. 495–500, Australia, 2003.
  • D. E. Goldberg, Genetic Algorithms in search optimization &Machine, Boston, Addison-Wesley Publishing Company, Inc., 1989.
  • C.-C. Chiang, W.-K. Tai, M.-T. Yang, Y.-T. Huang, and C.-J. Huang, “A novel method for detecting lips, eyes and faces in real time,” Real-Time Imaging, Vol. 9, No. 4, pp. 277–287, 2003.
  • K. Iwano, S. Tamura, and S. Furui, “Bimodal speech recognition using lip movement measured by optical-flow analysis,” Proc. of the 1st ISCA/IEEE/ ASJ/IEICE Int. Workshop on Hands- Free Speech Communication, pp. 187–190, Japan, 2001.
  • L. Ballerini, “Genetic snakes for medical images segmentation,” in Proc. of SPIE Mathematical Modeling and Estimation Techniques in Computer Vision, Vol. 3457, pp. 284–295, San Diego, 1998.
  • M. Kass, A. Witkin, and D. Terzopoulos, “Snakes: Active shape models,” Int. Journal of Computer Vision, Vol. 1, pp. 321–331, 1988.
  • D. Cristinacce and T. Cootes, “Facial feature detection using ADABOOST with shape constraints,” Proc. of the Fourteenth British Machine Vision Conf, pp. 231–240, UK, 2003.
  • K Plataniotis and A. Venetsanopoulos, Color Image Processing and Applications, Germany Springer- Verlag, 2000.
  • F. Klein, Erlangen program, Inaugural address at the University of Erlangen, 1872.
  • J. J. Grefenstette, “GENESIS: a system for using genetic search procedures,” Proc. of Conf. on Intelligent Systems and Machines, pp. 161–165, Rochester, 1984.
  • D. Whitley, “The GENITOR algorithm and selection pressure: Why rank-based allocation of reproductive trials is best,” Proc. of the 3rd Int. Conf. on Genetic Algorithms, pp. 116–121, Fairfax, 1989.
  • J. E. Baker, “Adaptive selection methods for genetic algorithms,” in Proc. of the 1st Int. Conf. on Genetic Algorithms and their applications, pp. 101–111, Hillsdale, 1985.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.