Indian Traffic Sign Detection and Recognition

Handmann, U., Kalinke, T., Tzomakas, C., Werner, M., Seelen, W.: An image processing system for driver assistance. Image Vis. Comput. 18(5), 367–376 (2000)

Timofte, R., et al.: Combining traffic sign detection with 3D tracking towards better driver assistance. Emerg. Top. Comp. Vis. and its App. 1–22 (2011)

Swathi, M., et al.: Automatic traffic sign detection and recognition: a review. International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET), pp. 1–17 (2017)

Escalera, S., et al.: Background on traffic sign detection and recognition. Traffic-sign recognition systems, pp. 5–13. Springer (2011)

Yakimov et al.: Traffic signs detection using tracking with prediction. International conference on E-business and telecommunications Colmar, Springer, 454–467 (2015)

Brkic et al.: An overview of traffic sign detection methods. Department of Electronics, microelectronics, Computer and Intelligent Systems Faculty of Electrical Engineering and Computing, 1–9 (2010)

Saadna, Y., Behloul, A.: An overview of traffic sign detection and classification methods. Int. J. Multimed. Inf. Retr. 6(3), 193–210 (2017)

H. Kamada et al.: A compact navigation system using image processing and fuzzy control,” In Proceeding IEEE South east con, 337–342(1990)

R. Janssen et al.: Hybrid approach for traffic sign recognition. Proc. IEEE Int. Conference Intel. Vehicles, 390–397 (1993)

C. Bahlmannetal.: A system for traffic sign detection, tracking, and recognition using color, shape, and motion information. IEEE Proceedings. Intel. Veh., 255–260 (2005)

S. Maldonado-Bascónet et al.: Road-sign detection and recognition based on support vector machines. IEEE Tran. On Intel. Transp. System, pp. 264–278, 2007

Malik, R., et al.: Road sign detection and recognition using color segmentation, shape analysis and template matching. Proc. Mach. Learn. Cybern. 3556–3560 (2007)

H. Huang et al.: Automatic detection and recognition of road sign. Int. Con. Mech. Embed. Syst. Appl., 626–630 (2008)

C. G. Kiran et al.: Traffic sign detection and pattern recognition using support vector machine. Int. Con. Adv. Pat. Recogn. 87–90 (2009)

S. Vitabile et al.: Road signs recognition using a dynamic pixel aggregation technique in the HSV color space. Proc. Image Anal. Process 572–577 (2001)

P. Wanitchai et al.: Traffic warning signs detection and recognition based on fuzzy logic and chain code analysis. Int. Symp. Intel. Inf. Tech. Appl. 508–512 (2008)

W.Shadeed, et al.: Road traffic sign detection in color images. Int. Con. Elect. Cir. Syst. 890–893 (2003)

Wen et al.: Image retrieval based on saliency attention. Found. Intell. Syst. 177–188 (2014)

P. Paclik et al.: Road sign classification without color information. Proc. Con. Adv. School Imaging Comput. 1–7 (2000)

G. Loy et al.: Fast shape-based road sign detection for a driver assistance system. Int. Con. Intell. Robot Syst. 70–75 (2004)

Hechri et al.: A robust road lanes and traffic signs recognition for driver assistance system. Int. J. Comp. Sci. Eng. 202–209 (2015)

Garcia-Garrido MA et al.: Fast traffic sign detection and recognition under changing lighting conditions. IEEE Intel. Trans. Syst 811–816 (2006)

Borji, et al.: Online learning of task-driven object-based visual attention control. Image Vis. Comput. 28(7), 1130–1145 (2010)

Ruta, et al.: A.: real-time traffic sign recognition from video by class-specific discriminative features. Pattern Recogn. 43(1), 416–−430 (2010)

Creusen et al.: Color exploitation in hog-based traffic sign detection. IEEE Int. Con. Image Process 2669–2672 (2010)

Overett et al.: Large scale sign detection using HOG feature variants. IEEE Intel. Veh. Symp. 326–331 (2011)

“Volkswagen Media Service phaeton debuts with new design and new technologies” https://www.volkswagenmediaservice.com/media_publish/ms/content/en/pressemitteilungen . Accessed 22 April 2010

Mobil eye Traffic Sign Detection: http://www.mobileye.com/technology/applications/traffic-sign-detection/ . Accessed 26 Oct 2011

Devpriya et al.: Indian traffic sign recognition using HSV color model and kernel extreme learning machine. Int. J. Print Packag. Allied Sci. 3381–3391(2016)

Huda noor A et al.: Real time detection and recognition of Indian traffic sign using Matlab. Int. J. Sci. Eng. Res. 684–690 (2013)

Arun nandewal et al.: Indian traffic sign detection and classification using neural network. Int. Congr. Technol. Manag. Soc. Sci. 11–17 (2016)

Jacob Toft Pedersen: Study group SURF: Feature detection &description: http://cs.au.dk/~jtp/SURF/report.pdf . Accessed 20 Feb 2018

Indian traffic sign: https://www.mapsofindia.com/my-india/government/traffic-signs-and-road-safety . Accessed 20 Feb 2018

Itti, et al.: A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20(11), 1254–1259 (1998)

Lasota M et al.: Recognition of multiple traffic signs using key points feature detectors. Int. Conf. Expo. Electr. Power Eng. 535–540 (2016)

Yakimov, P.Y., et al.: Pre-processing digital images for quickly and reliably detecting road signs. Pattern Recognit. Image Anal. 25(4), 729–732 (2015)

Herbet bay, et al.: SURF: speed up robust feature, pp. 404–417. Springer-Verlag Berlin, Heidelberg (2006)

Gomez-Moreno, H., Maldonado-Bascon, S., Gil-Jimenez, P., Lafuente-Arroyo, S.: Goal evaluation of segmentation algorithms for traffic sign recognition. IEEE Trans. Intel. Trans. Syst. 11(4), 917–930 (2010)

R Gonzalez: Digital image processing using MATLAB. Third edition, paperback, 2017

Youssef A et al.: Fast Traffic Sign Recognition Using Color Segmentation and Deep Convolution Networks. International Conference on Advanced Concepts for Intelligent Vision Systems, Springer, 205–216 (2016)