Применение метода Лукаса — Канаде для вычисления оптического потока
7
Application of Lucas — Kanade method for computing
the optical flow
© I.O. Sakovich, Yu.S. Belov
Kaluga Branch of Bauman Moscow State Technical University, Kaluga, 248000, Russia
The article is devoted to the detection of moving objects on the video sequence. We pro-
vide 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 applica-
tions of the optical flow.
Keywords:
optical flow, moving object detection, Lucas–Kanade method, computer
vision.
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Sakovich I.O.
(b. 1992) is a student of the Department of Computer Software, Information
Technologies, Applied Mathematics at Kaluga branch of Bauman Moscow State Technical
University. Research interests include information technologies, image recognition,
intellectual data analysis, multimedia systems. e-mail:
Belov Yu.S.
(b. 1982) graduated from Kaluga branch of Bauman Moscow State Technical
University in 2006. Ph.D., Assoc. Professor of the Department of Computer Software, In-
formation Technologies, Applied Mathematics at Kaluga branch of Bauman Moscow State
Technical University. Research interests include information technologies, computer
simulation, intellectual data analysis. e-mail:
