A Novel Traffic Sign Recognition System Combining Viola–Jones Framework and Deep Learning-Reference-Cited by-同舟云学术

A Novel Traffic Sign Recognition System Combining Viola–Jones Framework and Deep Learning

Published:2019 Issue: Volume: Page:507-517
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Jose Ajay,Thodupunoori Harish,Nair Binoy B.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-3600-3_48

Reference18 articles.

1. S.B. Wali, M.A. Hannan, A. Hussain, S.A. Samad, Comparative survey on traffic sign detection and recognition: a review. Przegląd Elektrotechniczny 91, 38–42 (2015)

2. J.M. Lillo-Castellano, I. Mora-Jiménez, C. Figuera-Pozuelo, J.L. Rojo-Álvarez, Traffic sign segmentation and classification using statistical learning methods. Neurocomputing 153, 286–299 (2015)

3. A.A. John, B.B. Nair, P.N. Kumar, Application of clustering techniques for video summarization—an empirical study, in Artificial Intelligence Trends in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing ed. by R. Silhavy, R. Senkerik, Z. Kominkova Oplatkova, Z. Prokopova, P. Silhavy (Springer, Cham, 2017), pp. 494–506

4. H. Liu, Y. Liu, F. Sun, Traffic sign recognition using group sparse coding. Inf. Sci. (Ny) 266, 75–89 (2014)

5. H. Li, F. Sun, L. Liu, L. Wang, A novel traffic sign detection method via color segmentation and robust shape matching. Neurocomputing 169, 77–88 (2015)

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