Traffic and Road Sign Recognition

This thesis presents a system to recognise and classify road and traffic signs for the purpose of developing an inventory of them which could assist the highway engineers’ tasks of updating a ...

[1]  H. Fleyeh,et al.  Invariant Road Sign Recognition with Fuzzy ARTMAP and Zernike Moments , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[2]  Hasan Fleyeh,et al.  SVM Based Traffic Sign Classification Using Legender Moments , 2007, IICAI.

[3]  H. Fleyeh.  Shadow And Highlight Invariant Colour Segmentation Algorithm For Traffic Signs , 2006, 2006 IEEE Conference on Cybernetics and Intelligent Systems.

[4]  Syed Omer Gilani,et al.  Road sign detection and recognition using fuzzy artmap: A case study swedish speed-limit signs , 2006, Artificial Intelligence and Soft Computing.

[5]  Raveendran Paramesran,et al.  An efficient method for the computation of Legendre moments , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  S. Lafuente-Arroyo,et al.  Traffic sign shape classification evaluation I: SVM using distance to borders , 2005, IEEE Proceedings. Intelligent Vehicles Symposium, 2005..

[7]  N. K. Kamila,et al.  Invariance image analysis using modified Zernike moments , 2005, Pattern Recognit. Lett..

[8]  Nasser Kehtarnavaz,et al.  Stop-sign recognition based on color/shape processing , 1993, Machine Vision and Applications.

[9]  Mark Dougherty,et al.  Road and traffic sign detection and recognition , 2005 .

[10]  Hasan Fleyeh.  A Novel Fuzzy Approach for Shape Determination of Traffic Signs , 2005, IICAI.

[11]  Hasan Fleyeh.  Traffic Signs Color Detection and Segmentation in Poor Light Conditions , 2005, MVA.

[12]  Hasan Fleyeh.  Road and Traffic Sign Color Detection and Segmentation - A Fuzzy Approach , 2005, MVA.

[13]  H. Fleyeh,et al.  Color detection and segmentation for road and traffic signs , 2004, IEEE Conference on Cybernetics and Intelligent Systems, 2004..

[14]  José Manuel Pastor,et al.  Visual sign information extraction and identification by deformable models for intelligent vehicles , 2004, IEEE Transactions on Intelligent Transportation Systems.

[15]  Peter Stone,et al.  Towards on-board color constancy on mobile robots , 2004, First Canadian Conference on Computer and Robot Vision, 2004. Proceedings..

[16]  Marc Ebner,et al.  Color Constancy Using Local Color Shifts , 2004, ECCV.

[17]  Henrikas Vaitkevicius,et al.  Investigation of color constancy with a neural network , 2004, Neural Networks.

[18]  Robert W. G. Hunt,et al.  The Reproduction of Colour: Sixth Edition , 2004 .

[19]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[20]  Marc Ebner.  A parallel algorithm for color constancy , 2004, J. Parallel Distributed Comput..

[21]  Chee-Way Chong,et al.  Translation and scale invariants of Legendre moments , 2004, Pattern Recognit..

[22]  Dia I. Abu-Al-Nadi,et al.  Road traffic sign detection in color images , 2003, 10th IEEE International Conference on Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003.

[23]  Jesús Angulo,et al.  Color segmentation by ordered mergings , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[24]  Sei-Wang Chen,et al.  Road-sign detection and tracking , 2003, IEEE Trans. Veh. Technol..

[25]  Chee-Way Chong,et al.  Translation invariants of Zernike moments , 2003, Pattern Recognit..

[26]  Sei-Wang Chen,et al.  A road sign recognition system based on dynamic visual model , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[27]  Isaac G. Councill,et al.  An Introduction to Support Vector Machines: A Review , 2003, AI Mag..

[28]  M. Benallal,et al.  Real-time color segmentation of road signs , 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

[29]  Arturo de la Escalera,et al.  Traffic sign recognition and analysis for intelligent vehicles , 2003, Image Vis. Comput..

[30]  Chee-Way Chong,et al.  A comparative analysis of algorithms for fast computation of Zernike moments , 2003, Pattern Recognit..

[31]  A. Hanbury,et al.  A 3D-polar Coordinate Colour Representation Suitable for Image Analysis , 2003 .

[32]  Kenji Suzuki,et al.  Linear-time connected-component labeling based on sequential local operations , 2003, Comput. Vis. Image Underst..

[33]  Ikuko Nishikawa,et al.  Detection and recognition of road signs using simple layered neural networks , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

[34]  Liu Han,et al.  Real-time recognition of road traffic sign in moving scene image using genetic algorithm , 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).

[35]  Filippo Sorbello,et al.  Multi-layer perceptron mapping on a SIMD architecture , 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

[36]  Chee-Way Chong,et al.  An Efficient Algorithm for Fast computation of Zernike Moments , 2002, Joint Conference on Information Sciences.

[37]  A. Zarandy,et al.  CNN based color constancy algorithm , 2002, Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications.

[38]  Mandyam D. Srinath,et al.  Invariant character recognition with Zernike and orthogonal Fourier-Mellin moments , 2002, Pattern Recognit..

[39]  Frank P. Ferrie,et al.  A model-based road sign identification system , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[40]  Takeo Kanade,et al.  Bayesian color constancy for outdoor object recognition , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[41]  Chih-Jen Lin,et al.  Training v-Support Vector Classifiers: Theory and Algorithms , 2001, Neural Computation.

[42]  Martial Hebert,et al.  Color constancy using KL-divergence , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[43]  Chung-Lin Huang,et al.  Road sign detection and recognition using matching pursuit method , 2001, Image Vis. Comput..

[44]  Chih-Jen Lin,et al.  Training nu-Support Vector Classifiers: Theory and Algorithms , 2001, Neural Comput..

[45]  Pavel Pudil,et al.  Road sign classification using Laplace kernel classifier , 2000, Pattern Recognit. Lett..

[46]  B. Javidi,et al.  Scale and illumination-invariant road sign detection , 2000, LEOS 2000. 2000 IEEE Annual Meeting Conference Proceedings. 13th Annual Meeting. IEEE Lasers and Electro-Optics Society 2000 Annual Meeting (Cat. No.00CH37080).

[47]  B. Javidi,et al.  Composite filter bank for road sign recognition , 2000, LEOS 2000. 2000 IEEE Annual Meeting Conference Proceedings. 13th Annual Meeting. IEEE Lasers and Electro-Optics Society 2000 Annual Meeting (Cat. No.00CH37080).

[48]  Yasutami Chigusa,et al.  Angle-dependent edge detection for traffic signs recognition , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).

[49]  Yoshiaki Shirai,et al.  An active vision system for real-time traffic sign recognition , 2000, ITSC2000. 2000 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.00TH8493).

[50]  Graham D. Finlayson,et al.  Computational colour constancy , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[51]  T. Asakura,et al.  Real-time recognition of road traffic sign in moving scene image using new image filter , 2000, SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers (IEEE Cat. No.00TH8545).

[52]  P. Charbonnier,et al.  Robust visual recognition of colour images , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[53]  Bernhard Schölkopf,et al.  New Support Vector Algorithms , 2000, Neural Computation.

[54]  Chung-Lin Huang,et al.  Road sign interpretation using matching pursuit method , 2000, 4th IEEE Southwest Symposium on Image Analysis and Interpretation.

[55]  Jana Novovičová,et al.  Road Sign Classification without Color Information , 2000 .

[56]  Takashi Jimbo,et al.  Searching and recognition of road signpost using ring detection network , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[57]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[58]  Christian Schiekel,et al.  A Fast Traffic Sign Recognition Algorithm for Gray Value Images , 1999, CAIP.

[59]  Yutaka Fukui,et al.  Region detection using color similarity , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

[60]  Arnold W. M. Smeulders,et al.  Color-based object recognition , 1997, Pattern Recognit..

[61]  Tae Young Choi,et al.  Robust detection of landmarks in color image based on fuzzy set theory , 1998, ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344).

[62]  Dariu Gavrila,et al.  Multi-feature hierarchical template matching using distance transforms , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[63]  Brian V. Funt,et al.  Is Machine Colour Constancy Good Enough? , 1998, ECCV.

[64]  J. Platt.  Sequential Minimal Optimization : A Fast Algorithm for Training Support Vector Machines , 1998 .

[65]  Bruce A. Draper,et al.  Color recognition in outdoor images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[66]  Filippo Sorbello,et al.  Pictogram road signs detection and understanding in outdoor scenes , 1998 .

[67]  Luis Moreno,et al.  Road traffic sign detection and classification , 1997, IEEE Trans. Ind. Electron..

[68]  Jiang Gangyi,et al.  Morphological skeleton analysis of traffic signs on road , 1996, 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929).

[69]  Tae Young Choi,et al.  Morphological traffic sign recognitions , 1996, Proceedings of Third International Conference on Signal Processing (ICSP'96).

[70]  S. Katahara,et al.  Route guidance sign identification using 2-D structural description , 1996, Proceedings of Conference on Intelligent Vehicles.

[71]  T. Asakura,et al.  A study on traffic sign recognition in scene image using genetic algorithms and neural networks , 1996, Proceedings of the 1996 IEEE IECON. 22nd International Conference on Industrial Electronics, Control, and Instrumentation.

[72]  G. Destri,et al.  Shape searching in real world images: a CNN-based approach , 1996, 1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96).

[73]  Nasser Kehtarnavaz,et al.  A real-time histographic approach to road sign recognition , 1996, Proceeding of Southwest Symposium on Image Analysis and Interpretation.

[74]  Dan R. Ghica,et al.  Recognition of traffic signs by artificial neural network , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[75]  Lutz Priese,et al.  Ideogram identification in a realtime traffic sign recognition system , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.

[76]  P. Parodi,et al.  A feature-based recognition scheme for traffic scenes , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.

[77]  Hanns Schulz-Mirbach,et al.  Invariant Features for Gray Scale Images , 1995, DAGM-Symposium.

[78]  Margrit Betke,et al.  Fast object recognition in noisy images using simulated annealing , 1995, Proceedings of IEEE International Conference on Computer Vision.

[79]  M. Campani,et al.  Robust road sign detection and recognition from image sequences , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.

[80]  W. Ritter,et al.  A real-time traffic sign recognition system , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.

[81]  Bruce A. Draper,et al.  Nonparametric classification of pixels under varying outdoor illumination , 1994, Other Conferences.

[82]  D. L. Kellmeyer,et al.  Detection of highway warning signs in natural video images using color image processing and neural networks , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[83]  Y. Sheng,et al.  Orthogonal Fourier–Mellin moments for invariant pattern recognition , 1994 .

[84]  Nasser Kehtarnavaz,et al.  An invariant traffic sign recognition system based on sequential color processing and geometrical transformation , 1994, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation.

[85]  Ren C. Luo,et al.  Traffic sign recognition in outdoor environments using reconfigurable neural networks , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[86]  Ren C. Luo,et al.  Outdoor landmark recognition using fractal based vision and neural networks , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

[87]  Jan Flusser,et al.  Pattern recognition by affine moment invariants , 1993, Pattern Recognit..

[88]  Marie de Saint Blancard,et al.  Road sign recognition: a study of vision-based decision making for road environment recognition , 1992 .

[89]  Neil Hoose,et al.  Computer Image Processing in Traffic Engineering , 1991 .

[90]  Alireza Khotanzad,et al.  Rotation invariant pattern recognition using Zernike moments , 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

[91]  H. Arsenault,et al.  Experiments on pattern recognition using invariant Fourier-Mellin descriptors. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[92]  F. Frances Yao,et al.  Finding the Convex Hull of a Simple Polygon , 1983, J. Algorithms.

[93]  M. Teague.  Image analysis via the general theory of moments , 1980 .