Complexity reduction in Neural Networks applied to Traffic Sign Recognition tasks

13th European Signal Processing Conference, EUSIPCO 2005

Volumn , Issue , 2005, Pages 1295-1298

  Vicen Bueno, R ^a   Gil Pita, R ^a   Jarabo Amores, M P ^a   Lopez Ferreras F ^a  

^a UNIVERSITY OF ALCALÁ   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEXITY REDUCTION; COMPUTATIONAL COSTS; ERROR CRITERION; KULLBACK-LEIBLER; LEAST SQUARE ERRORS; MULTI LAYER PERCEPTRON; PRE-PROCESSING; REAL-TIME IMPLEMENTATIONS; REDUCED COMPLEXITY; TRAFFIC SIGN RECOGNITION;

NEURAL NETWORKS; SIGNAL PROCESSING;

TRAFFIC SIGNS;

EID: 84863659277     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Miura, J., et. al., "An active vision system for real-time traffic sign recognition", Proc. IEEE Inteligent transportation systems, 2000, pp. 52-57.
2. Pérez, E. and Javidi, B., "Nonlinear distortion-tolerant filters for detection of road signs in background noise", IEEE trans. on Vehicular Technology, 2002, vol. 51, no. 3, pp. 567-576.
3. Escalera, A. de la, et. al., "Visual sign information extraction and identification by deformable models for intelligent vehicles", IEEE trans. on intelligent transportation systems, 2004, vol. 5, no. 2, pp. 57-68.
4. Hsu, S. H. and Huang, C. L., "Road sign detection and recognition using matching pursuit method", Image and Vision Computing, 2001, vol. 19, pp. 119-129.
5. Escalera, A. de la, et. al., "Traffic sign recognition and analysis for intelligent vehicles", Image and vision computing, 2003, vol. 21, pp. 247-258.
6. Fang, C., et. al, "Road Sign Detection and tracking", IEEE trans. on vehicular technology, 2003, vol. 52, no. 5, pp. 1329-1341.
7. Fang, C. Y., et. al., "An automatic road sign recognition system based on a computational model of human recognition processing", Computer Vision and Image Understanding, 2004, vol. 96, pp. 237-268.
8. S. Haykin, Neural networks. A comprehensive foundation (second edition), Prentice-Hall Inc., London, 1999.
9. F. Rosenblatt, Principles of Neurodynamics, Spartan books, New York, 1962.
10. C.M. Bishop, Neural networks for pattern recognition, Oxford University Press Inc., 1995.
11. A. El-Jaroudi, J. Makhoul "A new error criterion for posterior probability estimation with neural nets", IJCNN International Joint Conference on Neural Networks, 1990, vol. 3, pp. 185-192.
12. S. Kullback, Information Theory and Statistics, Wiley, New York, 1959.