Vehicular Detection Technique using Image Processing

Sheryl Radley*, Julia Punitha Malar Dhas**, S. Stewart Kirubakaran***
* Meenakshi College of Engineering, Chennai, Tamil Nadu, India.
**-*** Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Periodicity:July - September'2022

Abstract

The increasing traffic volume creates a greatest challenge in today's traffic research. It is important to know the road traffic density for effective traffic management and Intelligent Transportation System (ITS). Traditional method of detecting vehicles from video is image subtraction which is not effective as it is susceptible to changing levels of brightness. And hence the proposed algorithm detects vehicles from an image in a more precise manner. The proposed work uses image processing that involves the techniques such as image acquisition, image enhancement, and Image segmentation to retrieve image from the source and enhance the contrast and brightness of the image for successful surveillance on transportation system.

Keywords

ITS, Image Processing, Image Segmentation, Image Acquisition, Image Enhancement.

How to Cite this Article?

Radley, S., Dhas, J. P. M., and Kirubakaran, S. S. (2022). Vehicular Detection Technique using Image Processing. i-manager’s Journal on Image Processing, 9(3), 1-9.

References

[1]. Abbas, A. F., Sheikh, U. U., AL-Dhief, F. T., & Mohd, M. N. H. (2021). A comprehensive review of vehicle detection using computer vision. TELKOMNIKA (Telecommunication Computing Electronics and Control), 19(3), 838-850. https://doi.org/10.12928/telkomnika.v19i3.12880
[2]. Anandhalli, M., & Baligar, V. P. (2018). A novel approach in real-time vehicle detection and tracking using Raspberry Pi. Alexandria Engineering Journal, 57(3), 1597-1607. https://doi.org/10.1016/j.aej.2017.06.008
[3]. Banica, C., Paturca, S. V., Grigorescu, S. D., & Stefan, A. M. (2017, March). Data acquisition and image processing system for surface inspection. In 2017 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE) (pp. 28-33). IEEE. https://doi.org/10.1109/ATEE.2017.7905118
[4]. Biswas, S. P., Roy, P., Patra, N., Mukherjee, A., & Dey, N. (2016). Intelligent traffic monitoring system. In Proceedings of the Second International Conference on Computer and Communication Technologies (pp. 535-545). Springer, New Delhi. https://doi.org/10.1007/978-81-322-2523-2_52
[5]. Choi, Y. S., & Krishnapuram, R. (1997). A robust approach to image enhancement based on fuzzy logic. IEEE Transactions on Image Processing, 6(6), 808-825. https://doi.org/10.1109/83.585232
[6]. Dalaff, C., Reulke, R., Kroen, A., Kahl, T., Ruhe, M., Schischmanow, A., ... & Tuchscheerer, W. (2003). A Traffic object detection system for road traffic measurement and management. In Proc. Image and Vision Computing New Zealand (pp. 78-83).
[7]. Gulati, I., & Srinivasan, R. (2019). Image processing in intelligent traffic management. International Journal of Recent Technology and Engineering, 8(2S4), 213-218. https://doi.org/10.35940/ijrte.B1040.0782S419
[8]. Gupte, S., Masoud, O., Martin, R. F., & Papanikolopoulos, N. P. (2002). Detection and classification of vehicles. IEEE Transactions on Intelligent Transportation Systems, 3(1), 37-47. https://doi.org/10.1109/6979.994794
[9]. Image Enhancement Techniques. (2007). Retrieved from https://www.lkouniv.ac.in/site/writereaddata/siteContent/202004021910156883ajay_misra_geo_Digital_Image_Enhancement.pdf
[10]. Joseph, S. (2018). Image processing techniques and its applications: an overview. International Journal of Advance Research and Innovative Ideas in Education (IJARIIE), 4(3) 2168- 2174.
[11]. Karman, K. P. (1990). Moving object recognition using an adaptive backgroound memory. Proc. Time Varying Image Processing.
[12]. Kassem, N., Kosba, A. E., & Youssef, M. (2012, May). RF-based vehicle detection and speed estimation. In 2012 IEEE 75th Vehicular Technology Conference (VTC Spring) (pp. 1-5). IEEE. https://doi.org/10.1109/VETECS.2012.6240184
[13]. Kaur, A. (2012). A review paper on image segmentation and its various techniques in image processing. International Journal of Science and Research, 3(12), 2319-7064.
[14]. Malladi, R., & Sethian, J. A. (1996). A unified approach to noise removal, image enhancement, and shape recovery. IEEE Transactions on Image Processing, 5(11), 1554-1568. https://doi.org/10.1109/83.541425
[15]. Mishra, V. K., Kumar, S., & Shukla, N. (2017). Image acquisition and techniques to per form image acquisition. SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology, 9(1), 21-24. https://doi.org/10.18090/samriddhi.v9i01.8333
[16]. Pal, N. R., & Pal, S. K. (1993). A review on image segmentation techniques. Pattern Recognition, 26(9), 1277-1294. https://doi.org/10.1016/0031-3203(93)90135-J
[17]. Pandit, V., Doshi, J., Mehta, D., Mhatre, A., & Janardhan, A. (2014). Smart traffic control system using image processing. International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), 3(1), 2278-6856.
[18]. Patil, P., & Nandyal, S. (2013). Vehicle detection and traffic assessment using images. Advance in Electronic and Electric Engineering, 3(8), 987-1000.
[19]. Prasad, K. C., Lavanya, S., Rao, M. S., Rajeshwari, N. K., & Joseph, A. B. (2018). Algorithm for vehicle detection using image processing. Perspectives in Communication, Embedded-Systems and Signal-Processing-PiCES, 2(1), 1-4.
[20]. Shamrat, F. J. M., Mahmud, I., Rahman, A. S., Majumder, A., Tasnim, Z., & Nobel, N. I. (2020). A smart automated system model for vehicles detection to maintain traffic by image processing. International Journal of Scientific & Technology Research, 9(2), 2921-2928.
[21]. Sharma, P. (2022). Computer Vision Tutorial: A Stepby- Step Introduction to Image Segmentation Techniques (Part 1). Retrieved from https://www.analyticsvidhya.com/blog/2019/04/introduction-image-segmentationtechniques-python/
[22]. Suganyadevi, K. & Selvam, N. S. (2019). Effective traffic management system for vehicular network. International Journal of Innovative Technology and Exploring Engineering, 9(1), 453- 457. http://doi.org/10.35940/ijitee.A4186.119119
[23]. Sujatha, M., Renuga, D., & Bragadeesh, S. (2017). Traffic congestion monitoring using image processing and intimation of waiting time. International Journal of Pure and Applied Mathematics, 115(7), 239-245.
[24]. Swathy, M., Nirmala, P. S., & Geethu, P. C. (2017). Survey on vehicle detection and tracking techniques in video surveillance. International Journal of Computer Applications, 160(7), 22-25.
[25]. Tian, J., & Yin, X. (2018). Adaptive image enhancement algorithm based on the model of surface roughness detection system. EURASIP Journal on Image and Video Processing, 2018(1), 1-9. https://doi.org/10.1186/s13640-018-0343-1
[26]. Wang, W. (2011). Colony image acquisition system and segmentation algorithms. Optical Engineering, 50(12), 123001. https://doi.org/10.1117/1.3662398
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