Incremental detection of text on road signs from video with application to a driving assistant system

ACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia

Volumn , Issue , 2004, Pages 852-859

  Wu, Wen ^a   Chen, Xilin ^a   Yang, Jie ^a  

^a Carnegie Mellon University   (United States)

Author keywords

Driving assistant system; Incremental text detection; Natural scene video; Road sign

Indexed keywords

ALGORITHMS; INFORMATION ANALYSIS; OBJECT RECOGNITION; REAL TIME SYSTEMS; RISK ASSESSMENT; ROADS AND STREETS; TEXTURES; TRAFFIC SIGNS;

DRIVING ASSISTANT SYSTEM; INCREMENTAL TEXT DETECTION; NATURAL SCENE VIDEO; ROAD SIGN;

VIDEO SIGNAL PROCESSING;

EID: 13444273023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1027527.1027724     Document Type: Conference Paper

References (20)

1. Chen, D., Odobez, J.M., and Bourlard, H. Text detection and recognition in images and video frames. Pattern Recognition, 37, 3 (Mar. 2004), 595-608.
2. Chen, X., Yang, J., Zhang, J., and Waibel, A. Automatic detection and recognition of signs from natural scenes. IEEE Trans. on IP, 13, 1 (Jan. 2004), 87-99.
3. Clark, P., and Mirmehdi, M. Estimating the orientation and recovery of text planes in a single image. In Proc. of the 12th British Machine Vision Conference, 2001, 421-430.
4. Fang, C.-Y., Fuh, C-.S., Chen, S.-W., and Yen, P.-S. A road sign recognition system based on dynamic visual model. In Proc. of the CVPR, 2003, I: 750-755.
5. Gandhi, T., Kasturi, R., and Antani, S. Application of planar motion segmentation for scene text extraction. In Proc. of the ICPR, 2000, I: 445-449.
6. Haritaoglu, E.D., and Haritaoglu, I. Real time image enhancement and segmentation for sign/text detection. In Proc. of the ICIP, 2003, III: 993-996.
7. Jain, A.K., and Yu, B. Automatic text location in images and video frames. Pattern Recognition, 31, 12 (Dec. 1998), 2055-2076.
8. Kastrinaki, V., Zervakis, M., and Kalaitzakis, K. A survey of video processing techniques for traffic applications. Image and Vision Computing, 21, 4 (Apr. 2003), 359-381.
9. Lee, C.W., Jung, K., and Kim, H.J. Automatic text detection and removal in video sequences. Pattern Recognition Letters, 24, 15 (Nov. 2003), 2607-2623.
10. Li, H., Doermann, D. and Kia, O. Automatic text detection and tracking in digital video. IEEE Trans. on IP, 9, 1(Jan. 2000), 147-156.
11. Lienhart, R. Automatic text recognition for video indexing. In Proc. of ACM Multimedia (Nov. 1996), 11-20.
12. Lienhart, R., and Wernicke, A. Localizing and segmenting text in images and videos. IEEE Trans. on CSVT, 12,4 (Apr. 2002), 256-268.
13. Lucas, B. D., and Kanade, T. An iterative image registration technique with an application to stereo vision. In Proc. of the IJCAI (1981), 674-679.
14. http://www.fhwa.dot.gov/, Manual on Uniform Traffic Control Devices.
15. Myers, G. Bolles, R., Luong, Q.-T., and Herson, J. Recognition of text in 3-D scenes. In Proc. of the 4th Symp. on Document Image Understanding Technology(2001), pp. 23-25.
16. Sato, T., Kanade, T., Hughes, E.K., and Smith, M.A. Video OCR for digital news archives. In Proc. of the IEEE Int. Workshop on Content-Based Access of Image and Video Database (1998), 52-60.
17. Shi, J., and Tomasi, C. Good features to track. In Proc. of the CVPR (1994), I:593-600.
18. Wu, V., Manmatha, R., and Riseman, E,M. TextFinder: an automatic system to detect and recognize text in images, IEEE Trans. on PAMI, 21, 11 (Nov. 1999), 1224-1229.
19. Wu, Y., Yu, T., and Hua, G. Tracking Appearances with occlusions. In Proc. of the CVPR (2003), II: 789-795.
20. Zhang, D., and Chang, S. A Bayesian framework for fusing multiple word knowledge models in Videotext recognition. In Proc. of the CVPR (2003), II: 528-533.