Tracking and Speed Estimation of Moving Vehicle for Traffic Surveillance System

  • Kamaraju Kamakula
  • J. Sharmila Rani
  • G. Santhosi
  • G. Gowri Pushpa
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 381)


Vehicle speed plays a crucial role in determining safety in traffic. In this paper vehicle speed is automatically estimated from video sequences taken from a single calibrated camera, so that this information can be used in controlling the traffic. The vehicle motion is detected and tracked along the frames. Our proposed system tracks the vehicles and gives the estimated speed of the vehicles using optical flow technique-Lucas Kanade using Pyramidal implementation.


Optical flow Lucas kanade Pyramid Velocity estimation Object tracking 


  1. 1.
    Rahim, H.A., Sheikh, U.U. Ahmad, R.B., Zain, A.S.M.: Vehicle Velocity Estimation for Traffic Surveillance System 4 (2010-09-2Google Scholar
  2. 2.
    Kesrarat, D., Patanavijit, V.: Tutorial of motion estimation based on Horn-Schunk optical flow algorithm in MATLAB. IEEE AU J.T. 15(1), 8–16 (2011)Google Scholar
  3. 3.
    Basak, K., Manjunatha, M., Dutta, P.K.: Pyramidal refinement of Lucas—Kanade optical flow based tracking of peripheral air embolism in OCT contrast imaging. 52(12) 2012Google Scholar
  4. 4.
    Shukla, D., Patel, E., Speed determination of moving vehicles using Lucas-Kanade algorithm 2(1), 32–36 (2013)Google Scholar
  5. 5.
    Sethi, N., Aggarwal, A. (Senior Assistant Professor) robust face detection and tracking using pyramidal Lucas Kanade tracker algorithm. 2(5), 1432–1438Google Scholar
  6. 6.
    Shirgeri, S., Naik, P.U., Udupi, G.R., Bidkar, G.A.: Design and development of Optical flow based Moving object detection and tracking (OMODT) system. Int. J. Comput. Eng. Res. 03(4)Google Scholar
  7. 7.
    Patel, E., Shukla, D.: Comparison of optical flow algorithms for speed determination of moving objects. 63(5) 2013Google Scholar
  8. 8.
    Trucco, E., Verri, A.: Introductory Techniques to 3d Computer Vision, 1st edn. Prentice Hall, New Jersy (1998)Google Scholar
  9. 9.
    Bozkurt, E., Sarkan, M.O.: Graduation Project Final Report, June 23, 2004Google Scholar
  10. 10.
    Yu, X.-D., Duan, L.-Y., Tian, Q., E.F.: Highway traffic information extraction from skycam MPEG video. In: Proceedings of IEEE 5th International Conference on Intelligent Transportation Systems pp. 37–42 (2002)Google Scholar
  11. 11.
    Garibotto, G., Castello, P., Del Ninno, E., Edrazzi, P., Zan, G., E.F.: Speed-vision: speed measurement by license plate reading and tracking. In: Proceedings of IEEE Intelligent Transportation System Conference, pp. 585–590 (2001)Google Scholar
  12. 12.
    Pelegrí, J., Alberola, J., Llario, V., E.F.: Vehicle detection and car speed monitoring systems using GMR magnetic sensors. In: Proceedings of IEEE 2002 28th Annual Conference Industrial Electronics Society, pp. 1693–1695 (2002)Google Scholar

Copyright information

© Springer India 2016

Authors and Affiliations

  • Kamaraju Kamakula
    • 1
  • J. Sharmila Rani
    • 1
  • G. Santhosi
    • 1
  • G. Gowri Pushpa
    • 1
  1. 1.Anil Neerukonda Institute of Technology and SciencesVisakhapatnamIndia

Personalised recommendations