Video-based detection and classification of US traffic signs and mile markers using color candidate extraction and feature-based recognition

Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering

Volumn , Issue , 2014, Pages 858-866

  Balali, Vahid ^a   Golparvar Fard, Mani ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84934282152     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/9780784413616.107     Document Type: Conference Paper

References (16)

1. (FHWA), F. H. A. (2003). "Manual on uniform traffic control devices (MUTCD). " U. S. Department of Transportation, Washington, D. C.
2. Balali, V. , and Golparvar-Fard, M. (2014). "Scalable Non-Parametric Parsing for Segmentation and 3D Localization of High-Quantity Low-Cost Highway Assets from Car-Mounted Video Streams. " (CRC),Atlanta, GA, USA.
3. Balali, V. , Golparvar-Fard, M. , and de la Garza, J. (2013). "Video-Based Highway Asset Recognition and 3D Localization. " Computing in Civil Eng. , 379-386.
4. Brkic, K. (2013). "An overview of traffic sign detection methods. " Electrical Engineering and Computing, Unska, Zagreb, Croatia, 10000.
5. Cheok, G. , Franaszek, M. , Katz, I. , Lytle, A. , Saidi, K. , and Scott, N. (2010). "Assessing Technology Gaps for the Federal Highway Administration Digital Highway Measurement Program. ", National Institute of Standards and Technology (NIST).
6. Fatmehsan, Y. R. , Ghahari, A. , and Zoroofi, R. A. (2010). "Gabor wavelet for road sign detection and recognition using a hybrid classifier. " MCIT, 25-28.
7. Golparvar-Fard, M. , Balali, V. , and de la Garza, J. (2012). "Segmentation and Recognition of Highway Assets Using Image-Based 3D Point Clouds and Semantic Texton Forests. " Computing in Civil Eng. , 10. 1061/(ASCE)CP. 1943-5487. 0000283.
8. Hu, Z. , and Tsai, Y. (2011). "Generalized Image Recognition Algorithm for Sign Inventory. " Journal of Computing in Civil Engineering, 25(2), 149-158.
9. Kim, J. , Jung, K. , and Hyun, C. (2005). "A Study on an Efficient Sign Recognition Algorithm for a Ubiquitous Traffic System. " DSP Computational Science and Its Applications, Springer Berlin / Heidelberg, 239-246.
10. Liu, Y. X. , Ikenaga, T. , and Goto, S. (2006). "Geometrical, Physical and Text/Symbol Analysis Based Approach of Sign Detection. " Intelligent Vehicles Symp, 238-243.
11. Matas, J. , Chum, O. , Urban, M. , and Pajdla, T. (2004). "Robust wide-baseline stereo from maximally stable extremal regions. " Image and Vision Com. , 22(10), 761-767.
12. Timofte, R. , Zimmermann, K. , and Van Gool, L. (2011). "Multi-view traffic sign detection, recognition, and 3D localisation. " Machine Vision and Applications, 1-15.
13. Tsai, Y. , Kim, P. , and Wang, Z. (2009). "Generalized Traffic Sign Detection Model for Developing a Sign Inventory. " Computing in Civil Engineering, 23(5), 266-276.
14. Viola, P. , and Jones,M. (2001). "Robust real-time object detection. "J. Computer Vision,4.
15. Wu, J. , and Tsai, Y. (2006). "Enhanced Roadway Inventory Using a 2-D Sign Video Recognition Algorithm. " Computer-Aided Civil and Infrastr Eng, 21(5), 369-382.
16. Zhu, S.-d. , Zhany, Y. , and Lu, X.-f. (2005). "Detection for triangle traffic sign based on neural network. " Proc. , Int. Conference on Vehicular Electronics and Safety, 25-28.