Abstract
In recent years, rapid growth of motorcycles enables a large number of traffic accidents. Hence, how to manage the traffic flow has been a hot topic. In this paper, we propose a method for recognizing and counting the motorcycles by integrating the support vector machine (SVM) and convolutional neural network (CNN). In this work, the CNN is first adopted to generate the implicit features, and then the SVM is trained based on the implicit features and tested for unknown images. The experimental results reveal the proposed method can achieve low error rates in counting motorcycles.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
https://en.wikipedia.org/w/index.php?title=Induction_loop&oldid=826349762
Connie, T., Al-Shabi, M., Cheah, W.P., Goh, M.: Facial expression recognition using a hybrid CNN–SIFT aggregator. In: Phon-Amnuaisuk, S., Ang, S.-P., Lee, S.-Y. (eds.) MIWAI 2017. LNCS (LNAI), vol. 10607, pp. 139–149. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-69456-6_12
Hu, Y., Huber, A., Anumula, J., Liu, S.: Overcoming the vanishing gradient problem in plain recurrent networks. In: Proceedings of 6th International Conference on Learning Representations (2018)
Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Proceedings of the 25th International Conference on Neural Information Processing Systems (2012)
Mukhtar, A., Tang, T.B.: Vision based motorcycle detection using hog features. In: Proceeding of 2015 IEEE International Conference on Signal and Image Processing Applications (2015)
Silva, R., Aires, K., Santos, T., Abdala, K., Veras, R., Soares, A.: Automatic detection of motorcyclists without helmet. In: Proceeding of 2013 XXXIX Latin American Computing Conference (2013)
Uijlings, J.R.R., van de Sande, K.E.A., Gevers, T., Smeulders, A.W.M.: Selective search for object recognition. Int. J. Comput. Vis. 104(2), 154–171 (2013)
Zhang, Y., et al.: Towards end-to-end speech recognition with deep convolutional neural networks. Interspeech, pp. 410–414 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Hong, TP., Yang, YC., Su, JH., Wang, SL. (2019). Recognition and Counting of Motorcycles by Fusing Support Vector Machine and Deep Learning. In: Chang, CY., Lin, CC., Lin, HH. (eds) New Trends in Computer Technologies and Applications. ICS 2018. Communications in Computer and Information Science, vol 1013. Springer, Singapore. https://doi.org/10.1007/978-981-13-9190-3_15
Download citation
DOI: https://doi.org/10.1007/978-981-13-9190-3_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9189-7
Online ISBN: 978-981-13-9190-3
eBook Packages: Computer ScienceComputer Science (R0)