Table of Contents
ISRN Signal Processing
Volume 2011, Article ID 103293, 16 pages
http://dx.doi.org/10.5402/2011/103293
Research Article

Normalization of Active Appearance Models for Fish Species Identification

Department of Information Processing, Tokyo Institute of Technology, Nagatsuta-Cho, Midori-Ku, Yokohama, Kanagawa 226-850, Japan

Received 12 January 2011; Accepted 7 February 2011

Academic Editors: C.-M. Kuo and L. Shen

Copyright © 2011 Charles-Henri Quivy and Itsuo Kumazawa. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Hill and C. Wilkinson, Methods for Ecological Monitoring of Coral Reefs, Australian Institute of Marine Science ( AIMS), Townsville, Australia, 2004, http://www.icran.org/.
  2. Ecogrid, February 2010, http://ecogrid.nchc.org.tw/sites.php?site=kt.
  3. S. Cadieux, F. Michaud, and F. Lalonde, “Intelligent system for automated fish sorting and counting,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '00), pp. 1279–1284, November 2000. View at Scopus
  4. C. B. Akg, “Abstract automatic fish classification from underwater images,” 2003.
  5. M. S. Nery, A. M. Machado, M. F. M. Campos, F. L. C. Pádua, R. Carceroni, and J. P. Queiroz-Neto, “Determining the appropriate feature set for fish classification tasks,” in Proceedings of the 18th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI '05), pp. 173–180, October 2005. View at Publisher · View at Google Scholar · View at Scopus
  6. T. F. Cooles, G. J. Edwards, and C. J. Taylor, “Active appearance models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 681–685, 2001. View at Publisher · View at Google Scholar · View at Scopus
  7. B. Zion, A. Shklyar, and I. Karplus, “In-vivo fish sorting by computer vision,” Aquacultural Engineering, vol. 22, no. 3, pp. 165–179, 2000. View at Publisher · View at Google Scholar · View at Scopus
  8. F. Storbeck and B. Daan, “Fish species recognition using computer vision and a neural network,” Fisheries Research, vol. 51, no. 1, pp. 11–15, 2001. View at Publisher · View at Google Scholar · View at Scopus
  9. D. J. White, C. Svellingen, and N. J. C. Strachan, “Automated measurement of species and length of fish by computer vision,” Fisheries Research, vol. 80, no. 2-3, pp. 203–210, 2006. View at Publisher · View at Google Scholar · View at Scopus
  10. D. Semani, C. Saint-Jean, C. Frélicot, T. Bouwmans, and P. Courtellemont, “Alive fishes species characterization from video sequences,” in Proceedings of the Structural, Syntactic and Statistical Pattern Recognition (SSPR/SPR '02), pp. 689–698, 2002.
  11. M. K. S. Alsmadi, K. B. Omar, S. A. Noah, and I. Almarashdah, “Fish recognition based on the combination between robust feature selection, image segmentation and geometrical parameter techniques using Artificial Neural Network and Decision Tree,” International Journal of Computer Science and Information Security, vol. 6, no. 2, pp. 215–221, 2009. View at Google Scholar
  12. T. Cootes, C. Taylor, and M. M. Pt, “Statistical models of appearance for computer vision,” Tech. Rep., 2004. View at Google Scholar
  13. S. Baker, I. Matthews, and J. Schneider, “Automatic construction of active appearance models as an image coding problem,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 10, pp. 1380–1384, 2004. View at Publisher · View at Google Scholar · View at Scopus
  14. J. Matthews and S. Baker, “Active appearance models revisited,” International Journal of Computer Vision, vol. 60, no. 2, pp. 135–164, 2004. View at Publisher · View at Google Scholar · View at Scopus
  15. J. A. Nelder and R. Mead, “A simplex method for function minimization,” The Computer Journal, vol. 7, no. 4, pp. 308–313, 1965. View at Google Scholar
  16. Y. Aidarous, S. L. Gallou, and R. Seguier, “Simplex optimisation initialized by Gaussian Mixture for active appearance models,” in Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA '07), pp. 79–84, December 2007. View at Publisher · View at Google Scholar · View at Scopus
  17. E. Jones and S. Soatto, “Layered active appearance models,” in Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV '05), pp. 1097–1102, October 2005. View at Publisher · View at Google Scholar · View at Scopus
  18. A. U. Batur and M. H. Hayes, “Adaptive active appearance models,” IEEE Transactions on Image Processing, vol. 14, no. 11, pp. 1707–1721, 2005. View at Publisher · View at Google Scholar · View at Scopus
  19. N. Durand and J. Marc Alliot, “A combined nelder-mead simplex and genetic algorithm,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '99), pp. 1–7, 1999.