Manifold learning based on multi-feature for road-sign recognition

Proceedings of the SICE Annual Conference

Volumn , Issue , 2011, Pages 1143-1146

  Zhang, Qieshi ^a,b   Kamata, Sei Ichiro ^a  

^a WASEDA UNIVERSITY   (Japan)

^b NONE

Author keywords

Feature Analyzing; Feature Selection; Manifold Learning; Road Sign Recognition (RSR)

Indexed keywords

PATTERN RECOGNITION; ROADS AND STREETS; TRANSPORTATION;

FEATURE ANALYZING; MANIFOLD LEARNING; MULTI FEATURES; ROAD SIGN RECOGNITION;

FEATURE EXTRACTION;

EID: 81255123396     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Y. Lauziere, D. Gingras, and F. Ferrie, "Amodel-based road sign identification system, "IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 1163-1170, 2001.
2. C. Fang, C. Fuh, S. Chen, and P. Yen, "A road sign recognition system based on dynamic visual model," IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 750-755, 2003.
3. A. de la Escalera, J. Armingol, J. Pastor, and F. Rodrguez, "Visual sign information extraction and identification by deformable models for intelligent vehicles," IEEE Trans. on Intelligent Transportation Systems (TITS), vol. 5, no. 2, pp. 57-68, Jun. 2004.
4. A. de la Escalera, L. Moreno, M. Salichs, and J. Armingol, "Road traffic sign detection and classification," IEEE Trans. on Industrial Electronics (TIE), vol. 44, no. 6, pp. 848-859, Dec. 1997. (Pubitemid 127767625)
5. Y. Baro, S. Escalera, J. Vitria, O. Pujol, and P. Radeva, "Traffic sign recognition using evolutionary adaboost detection and forest-ecoc classification," IEEE Trans. on Intelligent Transportation Systems (TITS), vol. 10, no. 1, pp. 113-126, Mar. 2009.
6. P. Paclik, J. Novovicova, P. Pudil, and P. Somol, "Road sign classification using the laplace kernel classifier," Pattern Recognition Letter, vol. 21, no. 13/14, pp. 1165-1173, Dec. 2000.
7. S. Hsu and C. Huang, "Road sign detection and recognition using matching pursuit method," Image and Vision Computing, vol. 19, no. 3, pp. 119-129, Feb. 2001. (Pubitemid 32034942)
8. X. Gao, L. Podladchikova, D. Shaposhnikov, K. Hong, and N. Shevtsova, "Recognition of traffic signs based on their colour and shape features extracted using human vision models," J. of Visual Communication and Image Representation, vol. 17, no. 4, pp. 675-685, Aug. 2006. (Pubitemid 43767278)
9. S. Roweis and L. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, Dec. 2000. (Pubitemid 32041578)
10. M. Balasubramanian and E. Schwartz, "The Isomap algorithm and topological stability," Science, vol. 295, no. 5552, pp. 7, Jan. 2002.
11. R. Wang, S. Shan, X. Chen, and W. Gao, "Manifold-manifold distance with application to face recognition based on image set," IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1-8, 2008.
12. A. Fitzgibbon and A. Zisserman, "Joint manifold distance: a new approach to appearance based clustering," IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 26-33, 2003.
13. Q. Zhang and S. Kamata, "Automatic road sign detection method based on color barycenters hexagon model," Int'l Conf. on Pattern Recognition (ICPR), pp. 1-4, Dec. 2008.
14. D. Lowe, "Object recognition from local scale-invariant features," Int'l Conf. on Computer Vision (ICCV), vol. 2, pp. 1150-1157, Sep. 1999.