Vehicle Speed Tracking Detection using Gaussian Mixture Models

International Journal of Mobile Computing and Application

© 2022 by SSRG - IJMCA Journal

Volume 9 Issue 3

Year of Publication : 2022

Authors : D. J. Samatha Naidu, B. Lakshmi Devi

10.14445/23939141/IJMCA-V9I3P101

How to Cite?

D. J. Samatha Naidu, B. Lakshmi Devi, "Vehicle Speed Tracking Detection using Gaussian Mixture Models," SSRG International Journal of Mobile Computing and Application, vol. 9,  no. 3, pp. 1-4, 2022. Crossref, https://doi.org/10.14445/23939141/IJMCA-V9I3P101

Abstract:

Vehicle speed detection is used to estimate the velocity of the moving vehicle using image and video processing techniques. Video is captured and analyzed for speed in real-time without any camera calibrations. By employing frame subtraction and masking techniques, moving vehicles are segmented out. Speed is calculated using the time taken between frames and segmented objects traversed in that frames. Finally, frame masking is used to differentiate between one or more vehicles. With an average error of +/- 2 km/h, speed detection was achieved for different video sequences.

Keywords:

Introduction, Related work, Product Architecture, Sample screens, Conclusion.

References:

[1] E. Atko F-XQDV, R. Blake, A. Juozapavi cius, M. Kazimianec, “Image Processing in Road Traffic Analysis, Nonlinear Analysis: Modelling and Control,” vol. 10, no. 4, pp. 315-333, 2005.
[2] Arash Gholami Rad, Abbas Dehghani, and Mohamed Rehan Karim, “Vehicle Speed Detection in Video Image Sequences using CVS Method,” International Journal of the Physical Sciences, Academic Journals, vol. 5, no. 17, pp. 2555-2563, 2010.
[3] H. P. Moravec, “Towards Automatic Visual Obstacle Avoidance,” Proc. 5th International Joint Conference on Artificial Intelligence, pp. 584, 1977
[4] Z.Zheng, H.Wang and EKTeoh, “Analysis of Gray Level Corner Detection,” Pattern Recognition Letters, vol. 20, pp. 149-162, 1999
[5] Rafael C.Gonzalez and Richard E.Woods, “Digital Image Processing,” Prentice Hall, 2001.
[6] D.A. Forsyth, J. Ponce, “Computer Vision, A Modern Approach”, Prentice Hall, 2003
[7] Open Source Computer Vision Library - Reference Manual, INTEL Corporation, 1999-2001.
[8] News Article. [Online]. Available: http://articles.timesofindia.indiatimes.com/2012-06- 27/chandigarh/32439930_1_road-accidentsnakas-internalroads [9] Raad Ahmed Hadi, Ghazali Sulong and Loay Edwar George, “Vehicle Detection and Tracking Techniques: A Concise Review,” in Signal & Image Processing: An International Journal (SIPIJ), vol. 5, no. 1, 2014.
[10] [Online]. Available: https://docs.opencv.org/master/d1/dc5/tutorial_background_subtra action.HTML
[11] [Online]. Available: http://users.forerib.ox.ac.UK/~Steve/review/review/node2.HTML
[12] Z. Wei, ET AL., "Multilevel Framework to Detect and Handle Vehicle Occlusion," Intelligent Transportation Systems, IEEE Transactions, vol. 9, pp. 161-174, 2008
[13] Gangadhar M, Madhu M S, Prof. Pushpalatha S, "Vehicle Tracking and Monitoring By ARM7," SSRG International Journal of Electrical and Electronics Engineering, vol. 1, no. 4, pp. 1-5, 2014. Crossref, https://doi.org/10.14445/23488379/IJEEE-V1I4P101
[14] Nishu Sing-la, “Motion Detection Based on Frame Difference Method,” International Journal of Information & Computation Technology, vol. 4, no. 15, pp. 1559-1565, 2014.
[15] [Online]. Available: http://brilliant.org/wiki/Gaussian-mixture-model/#:~:text=Gaussian%20mixture%20models%20are%20a,to% 20learn%20the%20subpopulations%20automatically
[16] B. Suresh, K. Triveni Y. V. Lakshmi, P. Saritha, K. Sriharsha, D. Srinivas Reddy, “Determination of Moving Vehicle Speed using Image Processing,” International Journal of Engineering Research & Technology, NCACSPV – 2016 Conference Proceeding, 2016.
[17] Gen-yuan Cheng, Yubin Guo, Xiaochun Cheng, Dongliang Wang, Jiandong Zhao, “Real-Time Detection of Vehicle Speed Based on the Video Image,” 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), 2020.
[18] Jin-Xiang Wang, “Research of Vehicle Speed Detection Algorithm in Video Surveillance, IIP Lab,” Department of Computer Science and Technology, Yanbian University, Yanji, Jilin, China. 
[19] Pranith Kumar Thadagoppula, Vikas Upadhyaya, “Speed Detection using Image Processing,” International Conference on Computer, Control, Informa, 2016.
[20] Tk Senthilkumar, Harishripriya M, Vishniu Ks, "Vehicle Monitoring, Tracking and Accident Rescue System using IOT," SSRG International Journal of Computer Science and Engineering, vol. 5, no. 5, pp. 17-20, 2018. Crossref, https://doi.org/10.14445/23488387/IJCSE-V5I5P104
[21] Vamsi Krishna Madasu and M. Hanmandlu, “Estimation of Vehicle Speed by Motion Tracking on Image Sequences,” IEEE Intelligent Vehicles Symposium University of California, San Diego, CA, USA, June 2010.
[22] Guolin Wang, and Deyun Xian Jason Gu, “Review on Vehicle Detection Based on Video for Traffic Surveillance,” Proceedings of the IEEE International Conference on Automation and Logistics Qingdao, China September 2008
[23] Muhammad Akram Adnan, Nor Izzah Zainuddin, “Vehicle Speed Measurement Technique Using Various Speed Detection Instrumentation,” IEEE Business Engineering and Industrial Applications Colloquium (BEIAC), 2013.
[24] Chen Peijiang, “Moving Object Detection Based on Background Extraction,” IEEE Conference, 2009.
[25] Weiqiang Wang, Member, IEEE, Jie Yang, Senior Member, IEEE, and Wen GAO, Senior Member, “IEEE Modeling Background and Segmenting Moving Objects from Compressed Video,” IEEE Transactions On Circuits And Systems For Video Technology, vol. 18, no. 5, 2008.
[26] Chief-Ling, Huang, Heng-Ning, Ma, “A Moving Object Detection Algorithm for Vehicle Localization,” Sixth International Conference on Genetic and Evolutionary Computing, 2012.
[27] P.Daniel Ratna Raju, G. Neelima, “Image Segmentation by using Histogram Thresholding,” International Journal of Computer Science Engineering and Technology, vol. 2, no. 1, pp. 776-779, 2012