Abstract
Face detection allows to recognize and detect human faces and provides information about their location in a given image. Many applications such as biometrics, face recognition, and video surveillance employ face detection as one of their main modules. Therefore, improvement in the performance of existing face detection systems and new achievements in this field of research are of significant importance. In this paper a hierarchical classification approach for face detection is presented. In the first step, discrete Gabor jets (DGJ) are used for extracting features related to the brightness information of images and a preliminary classification is made. Afterwards, a skin detection algorithm, based on modeling of colored image patches, is employed as a post-processing of the results of DGJ-based classification. It is shown that the use of color efficiently reduces the number of false positives while maintaining a high true positive rate. A comparison is made with the OpenCV implementation of the Viola and Jones face detector and it is concluded that higher correct classification rates can be attained using the proposed face detector.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Hoffmann, U., Naruniec, J., Yazdani, A., Ebrahimi, T.: Face detection using discrete gabor jets and color information. In: International Conference on Signal Processing and Multimedia Applications, SIGMAP (2008)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 511–518 (2001)
Rowley, H., Rowley, H., Baluja, S., Kanade, T.: Neural network-based face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 23–38 (1998)
Sung, K.K., Poggio, T.: Example-based learning for view-based human face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 39–51 (1998)
Yang, M.H., Ahuja, N.: Detecting human faces in color images. In: International Conference on Image Processing (ICIP), pp. 127–130 (1998)
Hsu, R.L., Abdel-Mottaleb, M., Jain, A.: Face detection in color images. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 696–706 (2002)
Feraud, R., Bernier, O., Viallet, J.E., Collobert, M.: A fast and accurate face detector based on neural networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 23, 42–53 (2001)
Huang, S.H., Huang, S.H., Lai, S.H.: Detecting faces from color video by using paired wavelet features. In: Conference on Computer Vision and Pattern Recognition (CVPR), p. 64 (2004)
Chen, T.: Audiovisual speech processing. IEEE Signal Processing Magazine 18, 9–21 (2001)
Gabor, D.: Theory of communication. Journal of the Institute of Electrical Engineers 93, 429–457 (1946)
Lades, M., Vorbrüggen, J., Buhmann, J., Lange, J., von der Malsburg, C., Würtz, R., Konen, W.: Distortion invariant object recognition in the dynamic link architecture. IEEE Transactions on Computers 42, 300–311 (1993)
Hotta, K., Kurita, T., Mishima, T.: Scale invariant face detection method using higher-order local autocorrelation features extracted from log-polar image. In: International Conference on Face & Gesture Recognition (1998)
Fisher, R.A.: The use of multiple measurements in taxonomic problems. Annals of Eugenics 7, 179–188 (1936)
Fukunaga, K.: Introduction to Statistical Pattern Recognition. Academic Press, London (1992)
Naruniec, J., Skarbek, W.: Face detection by discrete gabor jets and reference graph of fiducial points. In: Yao, J., Lingras, P., Wu, W.-Z., Szczuka, M.S., Cercone, N.J., Ślȩzak, D. (eds.) RSKT 2007. LNCS (LNAI), vol. 4481, pp. 187–194. Springer, Heidelberg (2007)
Naruniec, J., Skarbek, W., Rama, A.: Face detection and tracking in dynamic background of street. In: International Conference on Signal Processing and Multimedia Applications, SIGMAP (2007)
Jones, M.J., Rehg, J.M.: Statistical color models with application to skin detection. International Journal of Computer Vision 46, 81–96 (2002)
Bailly-Bailliére, E., Bengio, S., Bimbot, F., Hamouz, M., Kittler, J., Mariéthoz, J., Matas, J., Messer, K., Popovici, V., Porée, F., Ruiz, B., Thiran, J.P.: The BANCA database and evaluation protocol. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688, pp. 625–638. Springer, Heidelberg (2003)
Fox, N.A., O’Mullane, B.A., Reilly, R.B.: VALID: A new practical audio-visual database, and comparative results. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 777–786. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hoffmann, U., Naruniec, J., Yazdani, A., Ebrahimi, T. (2009). Face Detection Using Discrete Gabor Jets and a Probabilistic Model of Colored Image Patches. In: Filipe, J., Obaidat, M.S. (eds) e-Business and Telecommunications. ICETE 2008. Communications in Computer and Information Science, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05197-5_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-05197-5_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05196-8
Online ISBN: 978-3-642-05197-5
eBook Packages: Computer ScienceComputer Science (R0)