References:
[1] M. Bertozzi, A. Broggi, M.Del Rose, M Felisa, A. Rakotomamonjy and F. Suard, “A Pedestrian Detector Using Histograms of Oriented Gradients and a Support Vector Machine Classifier”, In Proc. IEEE Intelligent Transportation Systems Conference, pp.143-148, 2007.
[2] P. Kakumanu, S. Makrogiannis, and N. Bourbakis, “A
Survey of Skin-Color Modeling and Detection Methods”, Elsevier Pattern Recognition., Vol.40, No.3, pp.1106 – 1122, 2007.
[3] Wen-Hsiang Lai, Chang-Tsun Li, “Skin Colour Based Face Detection in Color Images”, IEEE International Conference on AVSS06, IEEE Computer Society, pp.56-61, 2006.
[4] Chang Huang, Haizhou Ai, Yuan Li, and Shihong Lao, “High-Performance Rotation Invariant Multiview Face Detection”, IEEE Trans. on Pattern Analysis and machine intelligence ACTIONS, Vol.29, No.4, pp.671-686, 2007.
[5] Lun Zhang, Rufeng Chu, Shiming Xiang, Shengeai Liao,and Stan Z. Li, “Face Detection Based on Multi-Block LBP Representation”, Center for Biometrics and Security Research & Natuinal Laboratory of Pattern Recognition, China, 2007.
[6] M. Nilson, J. Nordberg, and I. Claesson, “Face Detection Using Local SMQT Features and Split up snow Classifier”, IEEE ICASSP’07, Vol.2, pp.589-592., 2007.
[7] Ming-Hsuan Yang, David J. Kriegman, and Narendra Ahuja, “Detecting Faces in Images: A Survey”, IEEE Trans. On Pattern Analysis and Machine Intelligence., Vol.24, No.1, pp.34-58, 2002.
[8] L.G. Valiant, “A Theory of the Learnable”, Communications of the ACM, Vol.27, No.11, pp.1134–1142, 1984.
[9] S. Montabone, and A. Soto, “Human Detection Using a Mobile Platform and Novel Features Derived from a Visual Saliency Mechanism”, Image and Vision Computing., Vol.28, No.3, pp.391-402, 2010.
[10] Sanjay Kr. Singh, D.S. Chauhan, Mayank Vatsa, Richa Singh, “A Robust Skin Color Based Face Detection
Algorithm, Tamkang Journal of Science and Engineering, Vol.6, No.4, pp.227-234, 2003.
[11] Paul Viola, Michael Jones, “Robust Real-Time Object Detection”, International Journal of Computer Vision (IJCV), Vol.2, pp.137–154, 2004.
[12] S.Z. Li, ZhenQiu Zhang, “Float boost Learning and Statistical Face Detection”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol.26, No.9, pp.1112–1123, 2004.
[13] S. Araban, F. Farokhi, K. Kangarloo, “Determining Effective Colour Components for Skin Detection Using a Clustered Neural Network”, IEEE International Conference Signal and Image Processing Applications (ICSIPA11), pp.541-546, 2011.
[14] L. Zhang and R. Nevatia, “Efficient Scan-Window Based Object Detection Using GPGPU”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops (CVPRW08), pp.1-7, 2008.
[15] N. Dalal and B.l Triggs, “Histograms of Oriented Gradients for Human Detection”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops (CVPR05), Vol.1, pp.886-893, 2005.
[16] H. Zhang, W. Gao, Xilin Chen, Debin Zhao, “Object Detection Using Spatial Histogram Features”, Image and Vision Computing, Vol.24, No.4, pp.327–341, 2006.
[17] L. Itti, “The ilab Neuromorphic Vision C++ Toolkit: Free Tools for the Next Generation of Vision Algorithms”, The Neuromorphic Engineer, Vol.1, No.1, 2004.
[18] S. Frintrop, “VOCUS: A Visual Attention System for Object Detection and Goal directed Search”, PhD thesis, Rheinische Friedrich-Wilhelms University, Bonn Germany, 2005.
[19] R. C. Gonzalez, R. E. Woods, “Digital Image Processing”, Prentice Hall Edition, 2008.
[20] M. Pietika¨inen, T. Ojala, Z. Xu, “Rotation-invariant Texture Classification Using Feature Distributions”, Pattern Recognition Vol.33, pp.43–52, 2000.
[21] T. Ojala, M. Pietika¨inen, T. Ma¨enpa¨, “Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol.24, No.7, pp.971–987, 2002.
[22] L. Itti, C. Koch