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Proceedings Paper

Experimental comparison of methods for estimation of the observed velocity of the vehicle in video stream
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Paper Abstract

In this paper, we consider the problem of object's velocity estimation via video stream by comparing three new methods of velocity estimation named as vertical edge algorithm, modified Lucas-Kanade method, and feature points algorithm. As an applied example the task of automatic evaluation of vehicles' velocity via video stream on toll roads is chosen. We took some videos from cameras mounted on the toll roads and marked them out to determine true velocity. Comparison is carried out of performance in the correct velocity detection of the proposed methods with each other. The relevance of this paper is practical implementation of these methods overcoming all the difficulties of realization.

Paper Details

Date Published: 14 February 2015
PDF: 5 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94451C (14 February 2015); doi: 10.1117/12.2181226
Show Author Affiliations
Ivan Konovalenko, Institute for Information Transmission Problems (Russian Federation)
Moscow Institute of Physics and Technology (Russian Federation)
Visillect Service Ltd. (Russian Federation)
Elena Kuznetsova, Institute for Information Transmission Problems (Russian Federation)
Visillect Service Ltd. (Russian Federation)


Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)

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