Enhanced roadway inventory using a 2-D sign video image recognition algorithm

Computer-Aided Civil and Infrastructure Engineering

Volumn 21, Issue 5, 2006, Pages 369-382

  Wu, Jianping ^a   Tsai, Yichang ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE PROCESSING; RAILROAD TRAFFIC CONTROL;

ROADWAY INVENTORY VIDEO IMAGES; STOP SIGN IMAGES; STOP SIGN RECOGNITION ALGORITHM; VIDEO LOGGING;

ROAD AND STREET MARKINGS;

ALGORITHMS; IMAGE PROCESSING; RAILROAD TRAFFIC CONTROL; ROAD AND STREET MARKINGS;

ALGORITHM; IMAGE ANALYSIS; PATTERN RECOGNITION;

EID: 33646052283     PISSN: 10939687     EISSN: 14678667     Source Type: Journal    
DOI: 10.1111/j.1467-8667.2006.00443.x     Document Type: Article

References (12)

1. Arnoul, P., Viala, M., Guerin, J. P. & Mergy, M. (1996), Traffic sign detection for driver support systems, in Proceedings of the 1996 IEEE Intelligent Vehicles Symposium, Tokyo, Japan, pp. 142-46.
2. Bartneck, N. & Ritter, W. (1992), Color segmentation with polynomial classification, in Proceedings of the 11th IAPR International Conference on Pattern Recognition, The Hague, Netherlands, 2, 635-38.
3. Besserer, B., Estable, S. & Ulmer, B. (1993), Multiple knowledge sources and evidential reasoning for shape recognition, in Proceedings of the 4th International Conference on Computer Vision, Berlin, Germany, pp. 624-31.
4. Blancard, M. (1992), Road sign recognition: A study of vision-based decision making for road environment recognition, in Vision Based Vehicle Guidance, Springer-Verlag, New York, pp. 162-72.
5. Escalera, A. & Moreno, L. (1997), Road traffic sign detection and classification, IEEE Transactions on Industrial Electronics, 44, 848-58.
6. GDOT (1995), Systems inventory, data collection, coding and procedures manual, Georgia Department of Transportation, Planning Data Services Bureau, 1995, Revised Edn.
7. Janssen, R., Ritter, W., Stein, F. & Ott, S. (1993), Hybrid approach for traffic sign recognition, in Proceedings of the 1993 IEEE Intelligent Vehicles Symposium, Tokyo, Japan, pp. 390-95.
8. Piccioli, G., Micheli, E., De Parodi, P. & Compani, M. (1994), Robust road sign detection and recognition from image sequences, in Proceedings of the 1994 IEEE Intelligent Vehicles Symposium, Paris, France, pp. 278-83.
9. Ritter, W. (1992), Traffic sign recognition in color image sequences, in Proceedings of the 1992 IEEE Intelligent Vehicles Symposium, Detroit, MI, USA, pp. 12-17.
10. Rosser, W. G. V. (1982), An Introduction to Statistical Physics, Halsted Press: A division of John Wiley & Sons, New York, pp. 338-41.
11. Zheng, Y., Ritter, W. & Janssen, R. (1994), An adaptive system for traffic sign recognition, in Proceedings of the 1994 Intelligent Vehicles Symposium, Paris, France, pp. 165-70.
12. Tsai, J. & Wu, J. (2002), Shape and texture-based 1-d image processing algorithm for real-time stop sign road inventory data collection, Intelligent Transportation System Journal, 7, 213-34.