Ensemble of SVM for Accurate Traffic Sign Detection and Recognition
Author:
Affiliation:
1. Department of Information Technology, National Institute of Technology Raipur, Raipur-India
2. Department of Electronics & Telecommunication, National Institute of Technology Raipur, Raipur-India
Publisher
ACM Press
Reference34 articles.
1. Berkaya, Selcan Kaplan, et al. "On circular traffic sign detection and recognition." Expert Systems with Applications 48 (2016): 67--75.
2. Timofte, Radu, et al. "Combining traffic sign detection with 3D tracking towards better driver assistance." Emerging topics in computer vision and its applications 1 (2011): 425--446.
3. Ellahyani, Ayoub, Mohamed El Ansari, and Ilyas El Jaafari. "Traffic sign detection and recognition based on random forests." Applied Soft Computing(2016).
4. Houben, Sebastian, et al. "Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark." Neural Networks (IJCNN), The 2013 International Joint Conference on. IEEE, 2013.
5. Stallkamp, Johannes, et al. "The German traffic sign recognition benchmark: a multi-class classification competition." Neural Networks (IJCNN), The 2011 International Joint Conference on. IEEE, 2011.
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