Vestnik Moskovskogo Universiteta. Seriya 1. Matematika. Mekhanika
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Vestnik Moskovskogo Universiteta. Seriya 1. Matematika. Mekhanika, 2017, Number 2, Pages 40–48 (Mi vmumm56)  

Mechanics

Noise parameter identification for video tracking systems

T. Yu. Bokov, A. G. Yakushev

Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
References:
Abstract: The subject of this paper is to determine the reasons for resulting noises in output records of three video tracking systems — Qualisys Oqus, Vicon Bonita, and ARTTRACK2. Noise static and kinematic components are conventionally distinguished and their parameters are proposed to identify by comparison with model movements. Evaluation of these three systems leads to the conclusion on their satisfactory quality in the registration of tracking movements with velocity up to 6 m/s and with impact interactions with a surrounding medium. The obtained noise samples are also used to compare these video tracking systems.
Key words: arm movement, movement video tracking, noise.
Funding agency Grant number
Russian Science Foundation 15-50-00029
Received: 21.03.2016
English version:
Moscow University Mechanics Bulletin, 2017, Volume 72, Issue 2, Pages 40–47
DOI: https://doi.org/10.3103/S0027133017020030
Bibliographic databases:
Document Type: Article
UDC: 57.087.3
Language: Russian
Citation: T. Yu. Bokov, A. G. Yakushev, “Noise parameter identification for video tracking systems”, Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 2017, no. 2, 40–48; Moscow University Mechanics Bulletin, 72:2 (2017), 40–47
Citation in format AMSBIB
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\jour Vestnik Moskov. Univ. Ser.~1. Mat. Mekh.
\yr 2017
\issue 2
\pages 40--48
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\jour Moscow University Mechanics Bulletin
\yr 2017
\vol 72
\issue 2
\pages 40--47
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