TRAFFIC SIGN DETECTION AND ANALYSIS: RECENT STUDIES AND EMERGING TRENDS
Keywords:
Traffic Sign Recognition, Traffic Sign Classification, Loop SystemAbstract
Traffic Sign Recognition (TSR) is a field of research that has seen much activity in the recent decade. This research paper introduces the problem and presents four recent research papers on traffic sign detection and four recent research papers on traffic sign classification. It attempts to extract the recent trends in the field and touch upon unexplored areas, especially the lack of research into integrating TSR with a driver in the loop system and some of the problems that are being presented. The TSR is an exciting field with great promises for integration in the driver assistance systems and that particular area deserves to be explored further.
References
M. Trivedi, T. Gandhi and J. McCall, “Looking in and Looking out of a Vehicle: Computer Vision-Based Enhanced Vehicle Safety”, Intelligent Transportation Systems, IEEE Transactions On, Vol. 8, No. 1, pp 108-120, 2007.
M. Trivedi and S. Cheng, “Holistic Sensing and active displays for intelligent driver support systems”, Computer, Volume 40, No. 5, pp. 60-68, 2007.
C. Tran and M. M. Trivedi, “Vision For Driver Assistance: Looking at people in the Vehicle”, in Guide to Visual Analysis of Humans: Looking at people, T.B. Moeslund, L. Sigal, V. Krueger and A. Hilton Eds. , 2011.
D. Shinar, “Traffic Safety and Human Behavior”, Emerald Group Publishing, 2007
United Nations Economic Commission for Europe, “Convention on Road Signs and Signals of 1968, 2006.
State of California, Department of Transportation, “California Manual on Uniform Traffic Control Devices for Streets and Highways”.
S. Lafuente-Arroyo, S. Salcedo-Sanz, S. Maldonado-Bascon, J.A. PortillaFigueras and R.J. Lopez-Sastre, “A decision support system for the automatic management of keep clear signs based on support vector machines and geographic information systems”, Expert Sys. Applied, Volume37pp.767- 773,January2010(online),Available: http://dl.acm.org/citation.cfm?id=1628324.1628558
H. Liu, D. Liu and J. Xin, “Real Time Recognition of road traffic sign in motion image based on genetic algorithm” in Machine Learning and Cybernetics, 2002, Proceedings, 2002, International Conference on, Volume 1, IEEE, 2002, PP. 83-86.
A. Ruta, F. Porikli, S. Watanabe and Y. Li, “In-Vehicle Camera Traffic Sign Detection and Recognition”, Machine Vision and Applications, Volume 22, pp. 359-375, 2011 (online). Available: http://dx.doi.org/10.1007/s00138-009- 0231-x.
G. Overett and L. Peterson, “Large Scale Sign Detection Using HOG Feature Variants”, in Intelligent Vehicles Symposium (4), 2011 IEEE, June 2011, pp. 326-331.
R. Kastner, T. Michalke, T. Burbach, J. Fritsch and C. Goerick, “AttentionBased Trafic Sign Recognition with an array of weak classifiers” in Intelligent Vehicles Symposium (4), 2010 IEEE, June 2010, pp. 333-339.
M.Y. Fu and Y.S. Huang, “ A Survey on Traffic Sign Recognition” in Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on, July 2010, pp. 119-124.
H.Fleyeh and M. Dougherty, “Road and Traffic Sign Detection and Recognition”, in 10th EWGT Meeting and 16th Mini-Euro Conference, 2005, pp. 644-653.
A. Mogelmose, M.M. Trivedi and T.B. Moeslund, “Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey”, IEEE Intelligent Transportation Systems Transactions and Magazine, Volume, Special Issue on MLFTSR, December 2012.
S. Maldonado-Bascon, S. Lafuente-Arroyo, P. Gil-Jimenez, H. GomezMoreno and F. Lopez-Ferreras, “Road Sign Detection and Recognition based on Support Vector Machines”, Intelligent Transportation Systems, IEEE Transactions on, Volume 8, No. 2, pp. 264-278, 2007.
H. Gomez-Moreno, S. Maldonado-Bascon, P. Gil-Jimenez and S. LafuenteArroyo, “Goal Evaluation on Segmentation Algorithms for Traffic Sign Recognition”, Intelligent Transportation Systems, IEEE Transactions on, Volume 11, No. 4, pp.917-930, December 2010.
P. Viola and M. Jones, “Robust Real Time Object Detection”, International Journal of Computer Vision, Volume 57, No. 2, pp. 137-154, 2001.
G. Loy and N. Barnes, ”Fast Shape Based Road Sign Detection for a Driver Assistance System”, in Intelligent Robots and Systems 2004 (IROS 2004), Proceedings 2004 IEEE/RSJ International Conference on, Volume 1, IEEE, 2004, pp. 70-75.
F. Boi and L. Gagliardini, “A Support Vector Machines Network For Traffic Sign Recognition” in IJCNN, The 2011 International Joint Conference on IEEE, 2011, pp. 1918-1921.
D. Ciresan, U. Meier, J. Masci and J. Schmidhuber, “A Committee of Neural Networks for Traffic Sign Classification”, in Neural Networks (IJCNN), The 2011 International Joint Conference on, IEEE, 2011, pp. 1918-1921.
P. Sermanet and Y. LeCun, ”Traffic Sign Recognition With Multi scale Convolutional Networks”, in Neural Networks (IJCNN), The 2011 International Joint Conference on, IEEE, 2011, pp. 2809-2813.
F. Zaklouta, B. Stanciulescu and O. Hamdoun, “Traffic Sign Classification Using K-d Trees and Random Forests”, in Neural Networks (IJCNN), The 2011 International Joint Conference on, 31 2011-Aug 5, 2011, pp. 2151- 2155.
J. Stallkamp, M. Schlipsing, J. Salmen and C. Igel, “The German Traffic Sign Recognition Benchmark: A Multi class Classification Competition” in Neural Networks (IJCNN), The 2011 International Joint Conference on, IEEE, 2011, pp. 1453-1460 (online) Available: http://benchmark.ini.rub.de/?section=gtsrb
D. Hubel and T. Wiesel, “Receptive Fields of Single Neurons in the cat’s striate cortex”, The Journal of Physiology, Volume 148, No. 3, pp. 574-591, 1959.
Y. LeCun, L. Bottou, Y. Bengio and P. Haffner, “Gradient-Based Learning Applied to Document Recognition”, Proceedings of the IEEE, Volume 86, No. 11, pp. 2278-2324, 1998.
K. Jarrett, K. Kavulkcuoglu, M. Ranzato and Y. LeCun, “What is the best Multi Stage Architecture for Object Recognition? In Computer Vision 2009 IEEE 12th International Conference on, IEEE, 2009, pp. 2146-2153.
W. J.Kuo and C.C. Lin, “Two Stage Road Sign Detection and Recognition” in Multimedia and Expo. 2007 IEEE International Conference on, July 2007, pp. 1427-1430.
J. Beis and D. Lowe, “Shape Indexing Using approximate Nearest Neighbor Search in High Dimensional Spaces” in Computer Vision and Pattern Recognition, 1997 Proceedings, 1997 IEEE Computer Society Conference on IEEE 1997, PP. 1000-1006.
E. Bayro-Corrochano and J. Ortegon-Aguilar, “Lie Algebra Approach for Tracking and 3D Motion Estimation Using Monocular Vision”, Image and Vision Computing, Volume 25, No. 6, pp. 907-921, 2007.
O. Tuzel, F. Porikli and P. Meer, “Learning on Lie Groups for invariant Detection and Tracking” in Computer Vision and Pattern Recognition 2008, CVPR 2008, IEEE Conference on, IEEE, 2008, pp. 1-8.
F. Larson and M. Felsberg, “Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition”, Image Analysis, pp. 238-249, 2011.
R. Timofte, V. Prisacariu, L. Van Gool and I. Reid, ”Combining Traffic Sign Detection With 3D Tracking Towards Better Driver Assistance”, Emerging Topics in Computer Vision and its Applications,2011.
A. Mogelmose, M.M. Trivedi and T.B. Moeslund, “Learning to Detect Traffic Signs: Comparative Evaluation of the Roles of Real World and Synthetic Datasets”, in 21st International Conference on Pattern Recognition, November 2012.
Prof. Abhinav V. Deshpande. Implementation of A Robust and Safe Cyber Security System by Preventing The Intrusion of Outsiders by Formulation of A Novel and Efficient Cyber Law Enforcement Policy. International Journal of Information Technology, 6(2), 2015, pp. 01-10.
Prof. Abhinav v. Deshpande, Application of Open Source Software In Science and Engineering, International journal of Computer Engineering & Technology, Volume 6, Issue 8, 2015, pp. 1-10.
Prof. Abhinav v. Deshpande, System Designing and Modelling Using FPGA, International journal of Electronics and communication Engineering & Technology, Volume 5, Issue 11, 2015, pp. 47-52.
T Subramani, P.K.Kumaresan, Traffic Study on Road Network To Identify The Short Term Road Improvement Projects In Major Urban Centre, International Journal of Advanced Research in Engineering & Technology, Volume 3, Issue 1, 2012, pp. 66-76.
Downloads
Published
Issue
Section
License
Copyright (c) 2015 Abhinav V. Deshpande (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
