Local contour patterns for fast traffic sign detection

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2010, Pages 1-6

  Parada Loira, Francisco ^a   Alba Castro, José L ^a  

^a UNIVERSITY OF VIGO   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED DRIVER ASSISTANCE SYSTEMS; CIRCLE AND LINE; DRIVING CONDITIONS; EFFICIENT IMPLEMENTATION; GRAY-SCALE IMAGES; REAL TIME PERFORMANCE; SHAPE INFORMATION; TRAFFIC SIGN DETECTION; VISION ALGORITHMS;

AUTOMOBILE DRIVERS; DETECTORS; EMBEDDED SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MATHEMATICAL OPERATORS; TRAFFIC SIGNS;

REAL TIME SYSTEMS;

EID: 77956551256     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2010.5548008     Document Type: Conference Paper

References (22)

1. De la Escalera A., Armingol J.M. and Mata M., "Traffic sign recognition and analysis for intelligent vehicles", Image and Vision Computing, 21: 247-258, 2003
2. Torresen J., Bakke J.W., and Sekania L., "Efficient recognition of speed limit signs", Proc. IEEE Conf. on Intelligent Transportation Systems (ITS), Washington DC, 2004
3. Bahlmann C., Zhu Y., Ramesh V., Pellkofer M. and Koehler T., "A System for Traffic Sign Detection, Tracking, and Recognition Using Color, Shape, and Motion Information", IEEE Intelligent Vehicles Symposium (IV 2005), Las Vegas, June 2005 (Pubitemid 44055135)
4. Maldonado, S., Lafuente, S., Gil, P., Gómez, H. and López, F., Roadsign detection and recognition based on support vector machines. IEEE Trans. Intelligent Transportation Systems. v8 i2. 264-278.
5. C. G. Kiran, Lekhesh V. Prabhu, V. Abdu Rahiman, K. Rajeev: Traffic Sign Detection and Pattern Recognition Using Support Vector Machine. ICAPR 2009: 87-90
6. Yuan Xie; Li-feng Liu; Cui-hua Li; Yan-yun Qu Unifying Visual Saliency with HOG Feature Learning for Traffic Sign Detection. IEEE Intelligent Vehicles symposium. June 2009 Shaanxi China
7. M. A. Garcia-Garrido, et ai, "Fast traffic sign detection and recognition under changing lighting conditions," IEEE Conf. on Intelligent Transportation Systems, Sept 2006, pp.811-816.
8. Xavier Baró et al. "Traffic sign recognition using evolutionary adaboost detection and forest-ECOC Classification". IEEE Transactions on Intelligent Transportation Systems, V. 10, N. l,pp. 113-126, March 2009
9. D.M. Gavrila. Traffic Sign Recognition Revisited. Image Understanding Systems, DaimlerChrysler Research, 89081 Ulm, Germany.
10. Lafuente Arroyo, P. Gil Jimenez, R. Maldonado Bascon, F. Lopez Ferreras, and S. Maldonado Bascon, "Traffic Sign Shape Classification Evaluation I: SVM using Distance to Borders," Proceedings of IEEE Intelligent Vehicles Symposium , pp. 557-562, Las Vegas, June 2005
11. N. Barnes A.Zelinsky "Real Time radial symmetry for speed sign detection" IVS 2004
12. G. Loy N.Barnes "Fast Shape-based road sign detection for a driver assistance system" IROS 2004
13. Towards reliable traffic sign recognition Hoferlin, B.; Zimmermann, K.; Intelligent Vehicles Symposium, 2009 IEEE 2009 , Page(s): 324 -329
14. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. 1. Comput. Vision, vol. 60, no. 2, pp. 91-110, 2004.
15. N. Dalal, B. Triggs: Histograms of oriented gradients for human detection. In: CVPR 2005. IEEE Computer Society Conference on, vol. 1, pp. 886-893 vol. 1, June 2005
16. B. Alefs, G. Eschemann, H. Ramoser, C. Beleznai. Road Sign Detection from Edge Orientation Histograms. IEEE Intelligent Vehicles Symposium, 2007.
17. Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (2002) 971-987 (Pubitemid 34835471)
18. Canny, J., A Computational Approach To Edge Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, 8: 679-714, 1986
19. Crow, F. "Summed-area tables for texture mapping", SIGGRAPH 84, pp. 207-212. 1984
20. Gerig G. and Klein F. "Fast contour identification through efficient Hough Transform and simplified interpretation strategy," 8th IJCPR, Paris, pp. 498-500, 1986. (Pubitemid 17563829)
21. DH Ballard, "Generalizing the Hough Transform to detect arbitrary shapes", Pattern recognition, V.13,N. 2, pp. 111-122, 1981
22. E. Rosten, R. Porter and T. Drummond, "Faster and better: a machine learnig approach to corner detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, V. 32, N. 1, pp. 105-119, 2009