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

Ivan Konovalenko; Elena Kuznetsova

doi:10.1117/12.2181226

14 February 2015 Experimental comparison of methods for estimation of the observed velocity of the vehicle in video stream

Ivan Konovalenko, Elena Kuznetsova

Author Affiliations +

Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 94451C (2015) https://doi.org/10.1117/12.2181226
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy

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.

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Ivan Konovalenko and Elena Kuznetsova "Experimental comparison of methods for estimation of the observed velocity of the vehicle in video stream", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94451C (14 February 2015); https://doi.org/10.1117/12.2181226

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