Certificate of Registration Media number Эл #ФС77-53688 of 17 April 2013. ISSN 2308-6033. DOI 10.18698/2308-6033
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Application of Lucas-Kanade method for computing the optical flow

Published: 09.10.2014

Authors: Sakovich I.O., Belov Yu.S.

Published in issue: #7(31)/2014

DOI: 10.18698/2308-6033-2014-7-1275

Category: Instrumentation | Chapter: Optical engineering

The article is devoted to the detection of moving objects on the video sequence. We provide for the definition of the term "optical flow " and give a detailed analysis of Lucas-Kanade method as the most effective one for computing the optical flow. We give an overview of the improved options of this method. The article describes the main applications of the optical flow.

[1] Elgammal A., Harwood D., Davis L. Non-parametric model for background subtraction. 6th European Conference on Computer Vision. Part II. Dublin, 2000, vol. II, pp. 751-767.
[2] Li L., Huang W., Gu I.Y.H., Tian Q. Foreground object detection in changing background based on color co-occurrence statistics. Applications of Computer Vision, 2002, pp. 269-274. doi: 10.1109/ACV.2002.1182193.
[3] Matsushita Y., Nishino K. Illumination normalization with time-dependent intrinsic images for video surveillance. IEEE Trans. Pattern Anal. Mach. Intell. 2004, pp. 1336-1348.
[4] Collins R.T., Lipton A.J., Fujiyoshi H., Kanade T. Algorithms for Cooperative Multi Sensor Surveillance. Proc. of IEEE, vol. 89, no.10, 2001, pp. 1456-1477. doi: 10.1109/5.959341.
[5] Opticheskiy potok [Optical flow]. Wikipedia. Available at: (accessed 26 May 2014).
[7] Vychislenie opticheskogo potoka metodom Lukasa-Kanade [Calculation of optical flow by Lucas-Kanade method]. Multifunctional site. Available at: (accessed 26 May 2014).