PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Face detection in color images using skin segmentation

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Face detection which is a challenging problem in computer vision, can be used as a major step in face recognition. The challenges of face detection in color images include illumination differences, various cameras characteristics, different ethnicities, and other distinctions. In order to detect faces in color images, skin detection can be applied to the image. Numerous methods have been utilized for human skin color detection, including Gaussian model, rule-based methods, and artificial neural networks. In this paper, we present a novel neural network-based technique for skin detection, introducing a skin segmentation process for finding the faces in color images.
Twórcy
  • Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas, USA
autor
  • Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas, USA
Bibliografia
  • [1] Al-Mohair H., Saleh J., Suandi S., “Human skin color detection: A review on neural network perspective”, International Journal of Innovative Computing, Information and Control, vol. 8, no. 12, 2012, pp. 8115–8131.
  • [2] Alshehri S., “Neural Networks Performance for Skin Detection”, Journal of Emerging Trends in Computing and Information Sciences, vol. 3, no. 12, 2012, pp. 1582–1585.
  • [3] Bakry E., Zhao H. M., Zhao Q., “Fast Neural implementation of PCA for face detection”. In: International Joint Conf. on Neural Networks, 2006, pp. 806–811.
  • [4] Chandrappa D. N., Ravishankar M., RameshBabu D. R., “Face detection in color images using skin color model algorithm based on skin color information”.In: 2011 3rd International Conference on Electronics Computer Technology(ICECT), 2011, pp. 254–258.
  • [5] Chen H., Huang C., Fu C., “Hybrid-boost learning for multi-pose face detection and facial expression recognition”, Pattern Recognition, Elsevier, vol. 41, no. 3, 2008, pp. 1173–1185. DOI: http://dx.doi.org/10.1016/j.patcog.2007.08.010.
  • [6] Doukim C. A., Dargham J. A., Chekima A., Omatu S., “Combining neural networks for skin detection”, Signal & Image Processing: An International Journal (SIPIJ), vol. 1, no. 2, 2010, pp. 1–11.
  • [7] Hajiarbabi M., Agah A., “Human Skin Color Detection using Neural Networks with Boosting”, Journal of Intelligent Systems, under review, 2014.
  • [8] Hjelmas E., Kee Low B., “Face Detection: A Survey”, Computer Vision and Image Understanding (CVIU), vol. 83, no. 3, 2001, pp. 236–274. DOI:http://dx.doi.org/10.1006/cviu.2001.0921.
  • [9] Jeng S., Liao H., Liu Y., Chern M., “An efficient approach for facial feature detection using Geometrical Face Model”, Pattern Recognition, vol. 31, no. 3, 1998, pp. 273. DOI: http://dx.doi.org/10.1016/S0031-3203(97)00048-4.
  • [10] Kong W., Zhe S., “Multi-face detection based on down sampling and modified subtractive clustering for color images”, Journal of Zhejiang University, vol. 8, no. 1, 2007, pp. 72–78.
  • [11] Kovac J., Peer P., Solina F., “Human Skin Color Clustering for Face Detection”, EUROCON 2003.Computer as a Tool. The IEEE Region, vol. 8, no. 2, 2003, pp. 144–148. DOI: http://dx.doi.org/10.1109/EURCON.2003.1248169.
  • [12] Lin S. H., Kung S. Y., Lin L. J., “Face recognition/detection by probabilistic decision- based neural network”, IEEE Trans. on Neural Networks, vol. 8, 1997, pp. 114–132.
  • [13] Rowley H., Baluja S., Kanade T., “Neural network-based face detection”, IEEE Pattern Analysis and Machine Intelligence, vol. 20, no. 1, 1998. pp. 22–38. DOI: http://dx.doi.org/10.1109/34.655647.
  • [14] Seow M., Valaparla D., Asari V., “Neural network based skin color model for face detection”. In:Proceedings of the 32nd Applied Imagery Pattern Recognition Workshop (AIPR’03), 2003, pp. 141–145.
  • [15] Shavers C., Li R., Lebby G., “An SVM-based approach to face detection”. In: 2006 Proc. of 38th Southeastern Symposium on System Theory, 2006, pp. 362–366. DOI: http://dx.doi.org/10.1109/SSST.2006.1619082.
  • [16] Singh S., Chauhan D. S., Vatsa M., Singh R., “A Robust Skin Color Based Face Detection Algorithm”, Tamkang Journal of Science and Engineering, vol. 6, no. 4, 2003, pp. 227–234.
  • [17] Sung K., Learning and example selection for object and pattern detection, PhD Thesis, MIT AI Lab, 1996
  • [18] UCD database: http://ee.ucd.ie/~prag/
  • [19] Viola P., Jones M. J., “Robust real-time object detection”. In: Proc. of IEEE Workshop on Statistical and Computational Theories of Vision, 2001.
  • [20] Wu Y., Ai X., “Face detection in color images using Adaboost algorithm based on skin color information”. In: 2008 Workshop on Knowledge Discovery and Data Mining, 2008, pp. 339–342.
  • [21] Yang G., Li H., Zhang L., Cao Y., “Research on a skin color detection algorithm based on selfadaptive skin color model”. In: International Conference on Communications and Intelligence Information Security, 2010, pp. 266–270.
  • [22] Yang K., Zhu H., Y. J. Pan, “Human Face detection based on SOFM neural network”. In: 2006 IEEE Proc. Of International Conf. on Information Acquisition, 2006, pp. 1253–1257.
  • [23] Yang M. H., Kriegman D. J., Ahuja N., “Detecting Faces in Images: A Survey”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 1, 2002, pp. 34–58.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e063a1a0-d2a9-4a7c-802e-05d48f9b6a70
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.