Traffic Offender Detection System Using Deep Learning Approach
Author:
Affiliation:
1. Professor, Department of Information Technology, Zeal College of Engineering and Research, Pune, Maharashtra, India.
2. Department of Information Technology, Zeal College of Engineering and Research, Pune, Maharashtra, India
Abstract
Publisher
Technoscience Academy
Reference20 articles.
1. J. Chiverton, “Helmet presence classification with motorcycle detection and tracking,” Intelligent Transport Systems (IET), vol. 6, no. 3, pp. 259–269, September 2012
2. Gomathi, et al, “Automatic Detection of Motorcycle without helmet using IOT”, South Asian Journal of Engineering and Technology
3. Samir Ibadov, et al, “Algorithm for detecting violations of traffic rules based on computer vision approaches”, MATEC Web of Conferences 132, 05005 (2017)
4. Aaron Christian P. Uy, et al, “Automated Traffic Violation Apprehension System Using Genetic Algorithm and Artificial Neural Network”, 2016 IEEE Region 10 Conference
5. Amey Narkhede, et al, “Automatic Traffic Rule Violation Detection and Number Plate Recognition”, IJSTE - International Journal of Science Technology & Engineering | Volume 3 | Issue 09 | March 2017
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