Automatic Vehicle Detection and Vehicle Counting

International Journal of Computer Science and Engineering
© 2018 by SSRG - IJCSE Journal
Volume 5 Issue 1
Year of Publication : 2018
Authors : Sakthi Ponmanisha R, Mukesh M, Aadhithya N, Prakash Raj G

How to Cite?

Sakthi Ponmanisha R, Mukesh M, Aadhithya N, Prakash Raj G, "Automatic Vehicle Detection and Vehicle Counting ," SSRG International Journal of Computer Science and Engineering , vol. 5,  no. 1, pp. 15-17 , 2018. Crossref,


This system is designed to detect and count the vehicle automatically for allocating a parking area in tourist place and intimating the tourist about the allocation area. For the process of counting and detection ,three algorithm has been used. The first algorithm is background subtraction, it subtracts the object from the background .After that multiple frames were created and corresponding objects is converted into Blobs. After background subtraction , the next process is done with mouse move prediction algorithm .In that process, current position and predicted position of each object is identified to find the distance travelled within a frame. The final process is multiple object tracking algorithm ,it tracks every object which enters the frame. Each and every object is tracked from start of the frame to end of the frame to count the vehicles. The tracked vehicle is then finally counted.In the existing system ,the detection accuracy is low due to overlapping between the vehicle. In the proposed system multiple object tracking algorithm overcome the overlapping and increase the detection accuracy.


Automatically, Detection, multiple frames, overlapping


[1] McGowen P., Sanderson M. Accuracy of Pneumatic Road Tube Counters. Proceedings of the 2011 Western District Annual Meeting; Anchorage, AK, USA. 10–13 July 2011. 
[2] Kastrinaki V., Zervakis M., Kalaitzakis K. A survey of video processing techniques for traffic applications. Image Vis. Comput. 2003;21:359–381. 
[3] Cheung S.Y., Varaiya P. Traffic Surveillance by Wireless Sensor Networks: Final Report. University of California; Berkeley, CA, USA: 2007. California PATH Research Report UCB-ITS-PRR-2007-4 
[4] WMa W., Xing D., McKee A., Bajwa R., Flores C., Fuller B., Varaiya 
[5] P. Barbagli B., Manes G., Facchini R., Manes A. Acoustic Sensor Network for Vehicle Traffic Monitoring. Proceedings of 1st International Conference on Advances in Vehicular Systems, Technologies and Applications; Venice, Italy. 24–29 June 2012; pp. 1–6.. 
[6] Satish V.R., Sonal C. Management of Car Parking System Using Wireless Sensor Network. Int. J. Emerg. Technol. Adv. Eng. 2012;2:262–268 
[7] EngHan N., SuLim T., Jesus G.G. Road traffic monitoring using a wireless vehicle sensor network. Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems; Bangkok, Thailand. 8–11 February 
[8] Youngtae J., Jinsup C., Inbum J. Traffic Information Acquisition System with Ultrasonic Sensors in Wireless Sensor Networks. Int. J. Distrib. Sens. Netw. 2014. 
[9] Low-complexity lossless and fine-granularity scalable near-lossless compression of color images R.J. van der Vleuten. 
[10] Compression of 3D objects with multistage color-depth panoramic map. Chang-Ming Tsai; Wen-Yan Chang; Chu-Song Chen; G.Y. Tang