Towards Real-Time Traffic Sign Detection and Classification
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Yi Yang | Fuchao Wu | Huarong Xu | Hengliang Luo | Fuchao Wu | Huarong Xu | Hengliang Luo | Yi Yang
[1] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[2] Xiaolin Hu,et al. Traffic sign detection based on convolutional neural networks , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[3] Pietro Perona,et al. Integral Channel Features , 2009, BMVC.
[4] Fatin Zaklouta,et al. Traffic sign classification using K-d trees and Random Forests , 2011, The 2011 International Joint Conference on Neural Networks.
[5] Yann LeCun,et al. Traffic sign recognition with multi-scale Convolutional Networks , 2011, The 2011 International Joint Conference on Neural Networks.
[6] Saturnino Maldonado-Bascón,et al. Goal Evaluation of Segmentation Algorithms for Traffic Sign Recognition , 2010, IEEE Transactions on Intelligent Transportation Systems.
[7] Yi Yang,et al. Real-Time Traffic Sign Detection via Color Probability Model and Integral Channel Features , 2014, CCPR.
[8] Jürgen Schmidhuber,et al. A committee of neural networks for traffic sign classification , 2011, The 2011 International Joint Conference on Neural Networks.
[9] Clément Farabet,et al. Torch7: A Matlab-like Environment for Machine Learning , 2011, NIPS 2011.
[10] Nozha Boujemaa,et al. Color texture classification by normalized color space representation , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[11] Zhilu Wu,et al. A robust, coarse-to-fine traffic sign detection method , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[12] Xiaolin Hu,et al. Traffic sign detection by ROI extraction and histogram features-based recognition , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[13] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[14] Johannes Stallkamp,et al. The German Traffic Sign Recognition Benchmark: A multi-class classification competition , 2011, The 2011 International Joint Conference on Neural Networks.
[15] Peter H. N. de With,et al. Color exploitation in hog-based traffic sign detection , 2010, 2010 IEEE International Conference on Image Processing.
[16] Johannes Stallkamp,et al. Detection of traffic signs in real-world images: The German traffic sign detection benchmark , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[17] Majid Mirmehdi,et al. Real-Time Detection and Recognition of Road Traffic Signs , 2012, IEEE Transactions on Intelligent Transportation Systems.
[18] Zhilu Wu,et al. A hierarchical method for traffic sign classification with support vector machines , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[19] Jürgen Schmidhuber,et al. Multi-column deep neural network for traffic sign classification , 2012, Neural Networks.
[20] Federico Tombari,et al. A traffic sign detection pipeline based on interest region extraction , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[21] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[22] Johannes Stallkamp,et al. Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition , 2012, Neural Networks.
[23] Karel J. Zuiderveld,et al. Contrast Limited Adaptive Histogram Equalization , 1994, Graphics Gems.
[24] Thomas B. Moeslund,et al. Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey , 2012, IEEE Transactions on Intelligent Transportation Systems.
[25] Jiri Matas,et al. Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..
[26] 许华荣,et al. Towards Real-Time Traffic Sign Detection and Classification , 2016 .
[27] T. Kanade,et al. Color information for region segmentation , 1980 .
[28] Changshui Zhang,et al. Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks , 2014, IEEE Transactions on Intelligent Transportation Systems.