References

Celebre, A.M.D., A.Z.D. Dubouzet, I.B.A. Medina, A.N.M. Surposa and R.C. Gustilo, 2015. Home automation using raspberry Pi through Siri enabled mobile devices. Proceedings of the IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), December 9-12, 2015, IEEE, Cebu City, Philippines, ISBN:978-1-5090-0361-7, pp: 1q-6.

Chen, M. and T. Chang, 2011. A parking guidance and information system based on wireless sensor network. Proceedings of the IEEE International Conference on Information and Automation (ICIA), June 6-8, 2011, IEEE, Shenzhen, China, ISBN:978-1-4577-0268-6, pp: 601-605.

Chen, X., S. Xiang, C.L. Liu and C.H. Pan, 2014. Vehicle detection in satellite images by hybrid deep convolutional neural networks. IEEE. Geosci. Remote Sens. Lett., 11: 1797-1801.
CrossRef  |  Direct Link  |  

Huang, C.C. and S.J. Wang, 2010. A hierarchical bayesian generation framework for vacant parking space detection. IEEE. Trans. Circuits Syst. Video Technol. 20: 1770-1785.
CrossRef  |  Direct Link  |  

Ichihashi, H., T. Katada, M. Fujiyoshi, A. Notsu and K. Honda, 2010. Improvement in the performance of camera based vehicle detector for parking lot. Proceedings of the IEEE International Conference on Fuzzy Systems, July 18-23, 2010, IEEE, Barcelona, Spain, ISBN:978-1-4244-6919-2, pp: 1950-1956.

Kharusi, H.A. and I.A. Bahadly, 2014. Intelligent parking management system based on image processing. World J. Eng. Technol., 2: 55-67.
CrossRef  |  Direct Link  |  

Krizhevsky, A., I. Sutskever and G.E. Hinton, 2012. Image net classification with deep convolutional neural networks. Proc. Neural Inf. Process. Syst., 1: 1097-1105.

Mallat, S., 2016. Understanding deep convolutional networks. Phil. Trans. R. Soc. A, 374: 1-16.
CrossRef  |  Direct Link  |  

Nikhade, S.G., 2015. Wireless sensor network system using Raspberry Pi and zigbee for environmental monitoring applications. Proceedings of the 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), May 6-8, 2015, IEEE, Maharashtra, India, ISBN: 978-1-4799-9854-8, pp: 376-381.

Power, P.W. and J.A. Schoonees, 2002. Understanding background mixture models for foreground segmentation. Proceedings of the Conference on Image and Vision Computing New Zealand, November 26-28, 2002, University of Auckland, Auckland, New Zealand, pp: 267-271.

SC., 2006. Curbing cars, shopping, parking and pedestrian space in Soho. Transportation alternatives, New York, USA.

Shinde, P.A., Y.B. Mane and P.H. Tarange, 2015. Real time vehicle monitoring and tracking system based on embedded Linux board and android application. Proceedings of the IEEE International Conference on Circuit, Power and Computing Technologies (ICCPCT), March 19-20, 2015, IEEE, Nagercoil, India, ISBN:978-1-4799-7075-9, pp: 1-7.

Tschentscher, M., C. Koch, M. Konig, J. Salmen and M. Schlipsing, 2015. Scalable real-time parking lot classification: An evaluation of image features and supervised learning algorithms. Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN), July 12-17, 2015, IEEE, Killarney, Ireland, ISBN:978-1-4799-1961-1, pp: 1-8.