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Call for Paper - December – 2024 Edition   

(SJIF Impact Factor: 5.966) (IJIFACTOR 3.8, RANKING: A+) (PIF: 3.460)

IJATCA solicits original research papers for the December – 2024 Edition.
Last date of manuscript submission is December 30, 2024.

                                                   

Detection of Motorcyclists without Helmet using Convolutional Neural Networks


Volume: 8 Issue: 2
Year of Publication: 2021
Authors: Taiwo Ajagunsegun, Parvinder Kaur



Abstract

Road traffic injuries are one of the highest public health hazards and in order to bring down the mishaps, one should be well aware of the road safety rules. Most highway users ignore road safety rules probably because they believe it is perfectly okay to violate them, or they get a feeling of accomplishment from being able to violate them and not get caught. The helmet is the main safety equipment for motorcyclists, but many riders do not use it. In order to enhance the enforcement of obeying road safety rule of wearing a suitable helmet for every motorcycle user on the highway, an automated system that captures highway users’ state and report defaulters to appropriate authorities is important. Deep learning method known as transfer learning with Convolutional Neural Networks can be highly efficient in expediting detection of helmet on the highway.

References

  1. An introduction to convolutional neural networks [Online] available at: http://white.stanford.edu/teach/index.php/An_Introduction_to_Convolutional_Neural_Networks.

  2. Bozinovski, S. (1972). Perceptrons: Training in Pattern Recognition. (original in Croatian: Perceptroni i obucavanje u prepoznavanju oblika) unpublished student scientific competition paper, University of Zagreb.

  3. Bozinovski, S. (1985a). Adaptation and training: A viewpoint. Automatika 26 (3-4) 137-144.

  4. Bozinovski, S. (1985b). A representation theorem for linear pattern classifier training. IEEE transactions on systems, man, and cybernetics, (1), 159-161.

  5. Bozinovski, S. (2020). Reminder of the first paper on Transfer Learning in Neural Networks, 1976. Informatica, 44(3).

  6. Chiu, C. C., Ku, M. Y., & Chen, H. T. (2007, June). Motorcycle detection and tracking system with Occlusion Segmentation. In Eighth International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS\"07) (pp. 32-32). IEEE.

  7. Chiverton, J. (2012). Helmet presence classification with motorcycle detection and tracking. IET Intelligent Transport Systems, 6(3), 259-269.

  8. Dahiya, K., Singh, D., & Mohan, C. K. (2016, July). Automatic detection of bike-riders without helmet using surveillance videos in real-time. In 2016 International Joint Conference on Neural Networks (IJCNN) (pp. 3046-3051).

  9. Dalal, N., & Triggs, B. (2005, June). Histograms of oriented gradients for human detection. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\"05) (Vol. 1, pp. 886-893).

  10. Goodfellow, I. J., Bulatov, Y., Ibarz, J., Arnoud, S., & Shet, V. (2013). Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks. URL http://arxiv.org/abs/1312.6082.

  11. Guo, Z., Zhang, L., & Zhang, D. (2010). A completed modeling of Local Binary Pattern Operator for Texture Classification. IEEE transactions on image processing, 19(6), 1657-1663.

  12. Kalman, R. E. (1960). A new approach to linear filtering and prediction problems. Journal of Basic Engineering, vol. 82, no. 1, pp. 35–45.

  13. Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2), 91-110.

  14. McCloskey, M., & Cohen, N. J. (1989). Catastrophic interference in connectionist networks: The sequential learning problem. In Psychology of learning and motivation (Vol. 24, pp. 109-165). Academic Press.

  15. Naik, D., Mammone, R. (1993). Learning by learning in Neural Networks, In R. Mammone (ed.) Artificial Neural Networks for Speech and Vision, Chapman and Hall, London.

  16. Sharkey, N. E., & Sharkey, A. J. (1993). Adaptive generalisation. Artificial Intelligence Review, 7(5), 313-328.

  17. Silva, R., Aires, K., Santos, T., Abdala, K., Veras, R., & Soares, A. (2013, October). Automatic detection of motorcyclists without helmet. In 2013 XXXIX Latin American Computing Conference (CLEI) (pp. 1-7).

  18. Silva, R. R. V., Aires, K. R. T., & Veras, R. D. M. S. (2014, August). Helmet detection on motorcyclists using image descriptors and classifiers. In 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images (pp. 141-148).

  19. Singh, D., Vishnu, C., & Mohan, C. K. (2016, December). Visual big data analytics for traffic monitoring in smart city. In 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 886-891). IEEE.

  20. Thrun, S., & Mitchell, T. M. (1995). Lifelong robot learning. Robotics and autonomous systems, 15(1-2), 25-46.

  21. Zakhareuski, A. (2021, May). U.S. Rules of the Road. Website. https://driving-tests.org/beginner-drivers/rules-of-the-road

Keywords

Helmet Detection, Image Classification, Convolutional Neural Network, Transfer Learning.




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