ARCHIVES
Research Article
Helmet and Number Plate Detection and Recognition
Adarsh Pandey1
Mahima Shanker2
Devanshu Rai3
Farhan Ahmed4
134 Student, Babu Banarasi Das Institute of Technology and Management, Uttar Pradesh (Lucknow), India. 2 Assistant Professor, Babu Banarasi Das Institute of Technology and Management, Uttar Pradesh (Lucknow), India.
Published Online: May-June 2023
Pages: 141-144
Cite this article
↗ 10.59256/ijire.2023040364
References
1. A. Adam, E. Rivlin, I. Shimshoni, and D. Reinitz, “Robust real-time unusual event detection using multiple fixed-location monitors,”
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 3, pp. 555–560, March 2008.
2. B. Duan, W. Liu, P. Fu, C. Yang, X. Wen, and H. Yuan, “Real-time onroad vehicle and motorcycle detection using a single
camera,” in Procs. of the IEEE Int. Conf. on Industrial Technology (ICIT), 10-13 Feb 2009, pp. 1–6.
3. C.-C. Chiu, M.-Y. Ku, and H.-T. Chen, “Motorcycle detection and tracking system with occlusion segmentation,” in Int.
Workshop on Image Analysis for Multimedia Interactive Services, Santorini, June 2007, pp. 32–32.
4. W. Hu, T. Tan, L. Wang, and S. Maybank, “A survey on visual surveillance of object motion and behaviors,” IEEE
Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 34, no. 3, pp. 334–352, Aug 2004.
5. J. Chiverton, “Helmet presence classification with motorcycle detection and tracking,” Intelligent Transport Systems (IET), vol. 6, no.
3, pp. 259–269, September 2012.
6. Z. Chen, T. Ellis, and S. Velastin, “Vehicle detection, tracking and classification in urban traffic,” in Procs. of the IEEE Int. Conf. on
Intelligent Transportation Systems (ITS), Anchorage, AK, Sept 2012, pp. 951–956.
7. R. Silva, K. Aires, T. Santos, K. Abdala, R. Veras, and A. Soares, “Automatic detection of motorcyclists without helmet,” in Computing
Conf. (CLEI), XXXIX Latin American, Oct 2013, pp. 1–7.
8. R. Rodrigues Veloso e Silva, K. Teixeira Aires, and R. De Melo Souza Veras, “Helmet detection on motorcyclists using
image descriptors and classifiers,” in Procs. of the Graphics, Patterns and Images (SIBGRAPI), Aug 2014, pp. 141–148.
9. Z. Zivkovic, “Improved adaptive gaussian mixture model for background subtraction,” in Proc. of the Int. Conf. on Pattern
Recognition (ICPR), vol. 2, Aug.23-26 2004, pp. 28–31.
10. C. Stauffer and W. Grimson, “Adaptive background mixture models for real-time tracking,” in Proc. of the IEEE Conf. on Computer
Vision and Pattern Recognition (CVPR), vol. 2, 1999, pp. 246–252.
11. “A threshold selection method from gray-level histograms,” IEEE Transactions on Systems, Man and Cybernetics, vol. 9, pp.
62–66, Jan 1979.
https://www.cse.iitb.ac.in/~abhishekin/research/
https://mail.google.com/mail/u/0/#inbox/FMfcgxwDsFgmnKSCqZblGPlvKGgXKNGc
https://www.cse.iitb.ac.in/~abhishekin/research/
http://www.ijsdr.org/papers/IJSDR1811028.pdf
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 3, pp. 555–560, March 2008.
2. B. Duan, W. Liu, P. Fu, C. Yang, X. Wen, and H. Yuan, “Real-time onroad vehicle and motorcycle detection using a single
camera,” in Procs. of the IEEE Int. Conf. on Industrial Technology (ICIT), 10-13 Feb 2009, pp. 1–6.
3. C.-C. Chiu, M.-Y. Ku, and H.-T. Chen, “Motorcycle detection and tracking system with occlusion segmentation,” in Int.
Workshop on Image Analysis for Multimedia Interactive Services, Santorini, June 2007, pp. 32–32.
4. W. Hu, T. Tan, L. Wang, and S. Maybank, “A survey on visual surveillance of object motion and behaviors,” IEEE
Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 34, no. 3, pp. 334–352, Aug 2004.
5. J. Chiverton, “Helmet presence classification with motorcycle detection and tracking,” Intelligent Transport Systems (IET), vol. 6, no.
3, pp. 259–269, September 2012.
6. Z. Chen, T. Ellis, and S. Velastin, “Vehicle detection, tracking and classification in urban traffic,” in Procs. of the IEEE Int. Conf. on
Intelligent Transportation Systems (ITS), Anchorage, AK, Sept 2012, pp. 951–956.
7. R. Silva, K. Aires, T. Santos, K. Abdala, R. Veras, and A. Soares, “Automatic detection of motorcyclists without helmet,” in Computing
Conf. (CLEI), XXXIX Latin American, Oct 2013, pp. 1–7.
8. R. Rodrigues Veloso e Silva, K. Teixeira Aires, and R. De Melo Souza Veras, “Helmet detection on motorcyclists using
image descriptors and classifiers,” in Procs. of the Graphics, Patterns and Images (SIBGRAPI), Aug 2014, pp. 141–148.
9. Z. Zivkovic, “Improved adaptive gaussian mixture model for background subtraction,” in Proc. of the Int. Conf. on Pattern
Recognition (ICPR), vol. 2, Aug.23-26 2004, pp. 28–31.
10. C. Stauffer and W. Grimson, “Adaptive background mixture models for real-time tracking,” in Proc. of the IEEE Conf. on Computer
Vision and Pattern Recognition (CVPR), vol. 2, 1999, pp. 246–252.
11. “A threshold selection method from gray-level histograms,” IEEE Transactions on Systems, Man and Cybernetics, vol. 9, pp.
62–66, Jan 1979.
https://www.cse.iitb.ac.in/~abhishekin/research/
https://mail.google.com/mail/u/0/#inbox/FMfcgxwDsFgmnKSCqZblGPlvKGgXKNGc
https://www.cse.iitb.ac.in/~abhishekin/research/
http://www.ijsdr.org/papers/IJSDR1811028.pdf
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