Comparison Between The Optical Flow Computational Techniques

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2013 by IJETT Journal
Volume-4 Issue-10
Year of Publication : 2013
Authors : Sri Devi Thota , Kanaka Sunanda Vemulapalli , Kartheek Chintalapati , Phanindra Sai Srinivas Gudipudi


Sri Devi Thota , Kanaka Sunanda Vemulapalli , Kartheek Chintalapati , Phanindra Sai Srinivas Gudipudi. "Comparison Between The Optical Flow Computational Techniques". International Journal of Engineering Trends and Technology (IJETT). V4(10):4507-4511 Oct 2013. ISSN:2231-5381. published by seventh sense research group.


Optical flow is the pattern of apparent motion of objects in a visual scene caused by the relative motion between an observer and the scene. There are many methods to extract optical flow, yet there is no platform that brings out comparison on the performance of these methods. In this paper, the comparison between the results obtained by the application of two major optical flow algorithms on different sets of image sequences is brought out. Also the applications of optical flow in vehicle detection and tracking are discussed.


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optical flow, gradient constraint equation, aperture problem, differential technique, horn-schunck algorithm, lucas-kanade algorithm, global smoothness, spatiotemporal variations