Road signs recognition by the scale-space template matching in the log-polar domain

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4477 LNCS, Issue PART 1, 2007, Pages 330-337

  Cyganek, Boguslaw ^a  

^a AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; ROADS AND STREETS; ROBUST CONTROL; TRAFFIC SIGNALS;

CASCADED SYSTEMS; PARTIAL OCCLUSIONS; POTENTIAL SIGN AREAS;

TEMPLATE MATCHING;

EID: 34547782572     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72847-4_43     Document Type: Conference Paper

References (17)

1. Amit, Y.: 2D Object Detection and Recognition. MIT Press, Cambridge, MA (2002)
2. Aoyagi, Y., Asakura, T.: A study on traffic sign recognition in scene image using genetic algorithms and neural networks in IEEE Conf. Electronics, Control, pp. 1838-1843 (1996)
3. Chen, X., Yang, J., Zhang, J., Waibel, A.: Automatic Detection and Recognition of Signs From Natural Scenes. IEEE Trans, on Image Proc. 13(1), 87-99 (2004)
4. Cyganek, B.: Soft System for Road Sign Detection. Accepted to the IFSA - Theory and Applications of Fuzzy Logic and Soft Computing, Cancun, Mexico, (June 18-21, 2007)
5. Cyganek, B.: Rotation Invariant Recognition of Road Signs with Ensemble of 1-NN Neural Classifiers. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds.) ICANN 2006. LNCS, vol. 4132, pp. 558-567. Springer, Heidelberg (2006)
6. Cyganek, B.: Recognition of Road Signs with Mixture of Neural Networks and Arbitration Modules. In: Wang, J., Yi, Z., Zurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, vol. 3973, pp. 52-57. Springer, Heidelberg (2006)
7. Cyganek, B.: Matching of the Multi-channel Images with Improved Nonparametric Transformations and Weighted Binary Distance. In: Reulke, R., Eckardt, U., Flach, B., Knauer, U., Polthier, K. (eds.) IWCIA 2006. LNCS, vol. 4040, pp. 74-88. Springer, Heidelberg (2006)
8. Cyganek, B.: Hardware-Software System for Acceleration of Image Processing Operations. Accepted to be published in the Machine Graphics & Vision (2007)
9. DaimlerChrysler, The Thinking Vehicle, http://www.daimlerchrysler.com (2002)
10. Escalera, A., Armingol, J.A.: Visual Sign Information Extraction and Identification by Deformable Models. IEEE Tr. On. Int. Transportation Systems 5(2), 57-68 (2004)
11. Forsyth, D., Ponce, I.: Computer Vision. In: A Modem Approach, Prentice-Hall, Englewood Cliffs (2003)
12. Kara, L.B., Stahovich, T.F.: An image-based, trainable symbol recognizer for hand-drawn sketches. Computers & Graphics 29(4), 501-517 (August 2005)
13. Piccioli, G., Micheli, E.D., Parodi, P., Campani, M.: Robust method for road sign detection and recognition. Image and Vision Computing 14, 209-223 (1996)
14. Porikli, F.: Integral Histogram: A Fast Way to Extract Histograms in Cartesian Spaces. TR2005-057, Mitsubishi Electric Research Laboratories, Cambridge, MA, USA (2005)
15. Wandell, B.A.: Foundations of Vision. Sinauer Associates Publishers Inc. (1995)
16. Zheng, Y.J., Ritter, W., Janssen, R.: An adaptive system for traffic sign recognition, In: Proc. IEEE Intelligent Vehicles Symp. pp. 165-170 (1994)
17. Zokai, S., Wolberg, G.: Image Registration Using Log-Polar Mappings for Recovery of Large-Scale Similarity. IEEE Transactions on Image Processing, 14(10) (2005) 1422-1433