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Computer Optics, 2020, Volume 44, Issue 2, Pages 244–249
DOI: https://doi.org/10.18287/2412-6179-CO-609
(Mi co786)
 

This article is cited in 5 scientific papers (total in 5 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Object tracking algorithm for a passive positioning system

V. K. Klochko, S. A. Smirnov

Ryazan State Radio Engineering University, Ryazan, Russia
Full-text PDF (738 kB) Citations (5)
References:
Abstract: We propose an algorithm for small-sized mobile object detection and trajectory parameter estimation for a passive positioning system that consists of several optical, thermal, and radio sensors. The algorithm is based on a combination of spatial and temporal processing of observation data. For spatial processing, a set of equations is solved that defines the sufficient condition for coupling the direction vectors to probable objects in the image stereo pair. Object coordinates and velocities for a single observation period are estimated. For temporal processing, the direction vectors are distributed based on connection to probable objects in a sequence of the capture intervals. The results of numerical modeling of the proposed algorithm show the advantage of combining the two approaches in comparison with the traditional object detection and tracking algorithms.
Keywords: passive positioning system, object detection, trajectory parameters estimation.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation 2.7064.2017/БЧ
This publication has been prepared as a part of research carried out by Ryazan State Radio Engineering University under the state contract 2.7064.2017/BCh.
Received: 22.07.2019
Accepted: 11.10.2019
Document Type: Article
Language: Russian
Citation: V. K. Klochko, S. A. Smirnov, “Object tracking algorithm for a passive positioning system”, Computer Optics, 44:2 (2020), 244–249
Citation in format AMSBIB
\Bibitem{KloSmi20}
\by V.~K.~Klochko, S.~A.~Smirnov
\paper Object tracking algorithm for a passive positioning system
\jour Computer Optics
\yr 2020
\vol 44
\issue 2
\pages 244--249
\mathnet{http://mi.mathnet.ru/co786}
\crossref{https://doi.org/10.18287/2412-6179-CO-609}
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  • https://www.mathnet.ru/eng/co786
  • https://www.mathnet.ru/eng/co/v44/i2/p244
  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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    Abstract page:205
    Full-text PDF :95
    References:24
     
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