Gabor wavelet for road sign detection and recognition using a hybrid classifier

MCIT'2010: International Conference on Multimedia Computing and Information Technology

Volumn , Issue , 2010, Pages 25-28

[No Author Info available]

Author keywords

Gabor wavelet; Na ve bayes classifier (NBs); One vs. rest support vector machines (OVR SVMs); Road sign recognition; YCbCr color space

Indexed keywords

BAYES CLASSIFIER; COLOR SPACE; DRIVER SUPPORT SYSTEM; FEATURE VECTORS; GABOR WAVELETS; HYBRID CLASSIFIER; INPUT IMAGE; INTELLIGENT VEHICLES; NAIVE BAYES; RGB COLOR SPACE; ROAD SIGN DETECTION; ROAD SIGN RECOGNITION; ROAD SIGNS;

AUTOMOBILE DRIVERS; AUTOMOBILES; CLASSIFIERS; COLOR; FEATURE EXTRACTION; IMAGE PROCESSING; INFORMATION TECHNOLOGY; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; ROADS AND STREETS; SUPPORT VECTOR MACHINES; VECTOR SPACES; VECTORS;

TRAFFIC SIGNS;

EID: 77952766854     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MCIT.2010.5444860     Document Type: Conference Paper

References (21)

1. S. M. Bascón, S. L. Arroyo, P. G. Jiménez,H. G. Moreno, F. L. Ferreras, "Road-Sign Detection and Recognition Based on Support Vector Machines", IEEE Transactions on Intelligent Transportation Systems, vol. 8, no. 2, June 2007.
2. L. W. Tsai, J. W. Hsieh, C. H. Chuang, Y. J. Tseng, K. C. Fan, C. C. Lee, H. Poor, "Road sign detec tion using eigen colour", IET Comput. Vis., 2008, Vol. 2, No.3, pp. 164-177.
3. X.W. Gao, L. Pod ladchikova, D. Shaposhnikov , K. Hong, N. shevtsova, , "Recognition of traffic signs based on their colour and shape featur es extracted using human vision models", J. Vis. Commun. Image R. 17 (2006) 675-685.
4. M. S. Prieto, A. R. Allen," Using self-organ ising maps in the detection and recognition of road signs", Image and Vision Computing (2008).
5. C.Y. Fang, C.S. Fuh , P.S. Yen, S. Cherng , S.W. Chen," An automatic road sign recognition system based on a computational model of human recognition processing", Computer Vision and Image Understanding 96 (2004) 237-268.
6. A. Escalera, J.M. Armingol, M. Mata," Traffic sign recognition and analys is for intelligent vehicles", Image and Vision Computing 21 (2003) 247-258.
7. J.Sheeba Rani, D.Devaraj , R. Sukanesh, "A Novel Feature Extraction Technique for Face Recognition", International Conference on Computational Intelligence and Multimedia Applications 2007.
8. P. Paclik , J. Novovicova, P. Pudil, P. Somol, "Road sign classifcation using Laplace kerne l classifer", Pattern Recognition Letters 21 (2000) 1165-1173.
9. H. Fleyeh, M. Dougherty, D. Aenugula, S. Baddam," Invariant Road Sign Recognition with Fuzzy ARTMAP and Zernike", Proceedings of the 2007 IEEE Intelligent Vehicles Symposium Istanbul, Turkey, June 13-15, 2007.
10. W. Y. Wu, T. C. Hsieh, C. S. Lai, "Extracting Road Signs using the Color Information", International Journal of Computer Science and Engineering Volume 2 Number 1.
11. H. G. Jung, Y. H. Lee, P. J . Yoon, I. Y. Hwang, J. Kim, "Sensor Fusion Based Obstacle Detection / Classification for Active Pedestrian Protection System", Springer-Verlag Berlin Heidelberg 2006.
12. Y. Y. Nguwi, S. Y. Cho, "Two-tier Self-Organizing Visual Model for Road Sign Recognition", 2008 International Joint Conference on Neural Networks (IJCNN 2008).
13. A. Koncar, H. Janßen, S. Halgamuge, "Gabor wavelet similarity maps for optimizing hierarchical road sign classifiers", Pattern Recognition Letters 28 (2007) 260-267.
14. Wen-Jia Kuo and Chien-Chung Lin, "Two-Stage Road Sign Detection and Recognition", 2007 IEEE.
15. R. Malik, J. Khurshid, S. N. Ahmad, " Road sign detection and recogn ition using colour segmentation, shape analys is and template matching", Proceedings of the Sixth International Conference on Machine Learning and Cybernetics,Hong Kong, 19-22 August 2007.
16. S. Vitabile, G. Pollaccia, G. Pilato, F. Sorbello, "Road sign recognition using a dynamic pixel aggregation technique in the HSV color space", 2001 IEEE.
17. S. Miyata, H. Nakamura, A. Yanou, S. Takehara," Feature Extraction and Recognition for Road Sign Using Dynamic Image Processing", The 3rd Intetnational Conference on Innovative Computing Information and Control (2008) IEEE.
18. J. Hatzidimos, "Automatic Traffic Sign Recognition in Digital Images", Proceedings of the International Conference on Theory and Applications of Mathematics and Informatics - ICTAMI 2004, Thessaloniki, Greece.
19. J. H. Hong, S. B. Cho, "A probabilistic multi-class strategy of one-vs.-rest support vector machines for cancer classification", Neurocomputing 71 (2008) 3275-3281.
20. A. D. Keller, M. Schummer, L. Hood, W. L. Ruzzo, "Bayesian Classification of DNA Array Expression Data", Technical Report UW-CSE-2000-08-01August, 2000.
21. M.F. Akay, "Support vector machines comb ined with feature select ion for breast cancer diagnosis", Expert Systems with Applications 36 (2009) 3240-3247.