Abstract
In this paper, we present a real-time face detection method based on hybrid neural networks. We propose a modified version of fuzzy min-max (FMM) neural network for feature analysis and face classification. A relevance factor between features and pattern classes is defined to analyze the saliency of features. The measure can be utilized for the feature selection to construct an adaptive skin-color filter. The feature extraction module employs a convolutional neural network (CNN) with a Gabor transform layer to extract successively larger features in a hierarchical set of layers. In this paper we first describe the behavior of the proposed FMM model, and then introduce the feature analysis technique for skin-color filter and pattern classifier.
This research was supported by a 21st Century Frontier R&D Program and Brain Neuroinformatics Research Program sponsored by Minister of Information and Communication and Minister of Commerce, Industry and Energy in KOREA.
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.
References
Garcia, C., Delakis, M.: Convolutional Face Finder: A Neural Architecture for Fast and Robust Face Detection. IEEE Transaction on Pattern Analysis and Machine Intelligence 26(11), 1408–1423 (2004)
Lawrence, Steve, Giles, C.L., Tsoi, A.C., Back, A.D.: Face Detection: A Convolutional Neural-Network Approach. IEEE Transaction n Neural Networks 8(1), 98–113 (1997)
Hsu, R.-L., Abdel-Mottaleb, M., Jain, A.K.: Face Detection in Color Images. IEEE Transaction on Pattern Analysis and Machine Intelligence 24(5), 696–706 (2002)
Storring, Moritz, Kocka, Tomas, Andersen, Hans, J., Granum, Erik: Tracking Regions of Human Skin Through Illumination Changes. Pattern Recognition Letters 24, 1715–1723 (2003)
Simpson, P.K.: Fuzzy Min-Max Neural Networks Part 1: Classification. IEEE Transaction on Neural Networks 3(5), 776–786 (1997)
Gabrys, B., Bargiela, A.: General Fuzzy Min-Max Neural Network for Clustering and Classification. IEEE Transaction on Neural Networks 11(3), 769–783 (2000)
Kim, H.J., Ryu, T.W., Nguyen, T.T., Lim, J.S., Gupta, S.: A Weighted Fuzzy Min-Max Neural Network for Pattern Classification and Feature Extraction. In: Proceeding of International Conference on Computational Science and Its Application, Part 4, pp. 791–798 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, HJ., Ryu, TW., Lee, J., Yang, HS. (2006). Face Detection Using an Adaptive Skin-Color Filter and FMM Neural Networks. In: Yang, Q., Webb, G. (eds) PRICAI 2006: Trends in Artificial Intelligence. PRICAI 2006. Lecture Notes in Computer Science(), vol 4099. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36668-3_155
Download citation
DOI: https://doi.org/10.1007/978-3-540-36668-3_155
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36667-6
Online ISBN: 978-3-540-36668-3
eBook Packages: Computer ScienceComputer Science (R0)