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[Studies in Computational Intelligence 481] Artur Babiarz, Robert Bieda, Karol Jędrasiak, Aleksander Nawrat (auth.), Aleksander Nawrat, Zygmunt Kuś (eds.) - Vision Based Systemsfor UAV Applications (2013, Sprin

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Object Track<strong>in</strong>g <strong>in</strong> a Picture dur<strong>in</strong>g Rapid<br />

Camera Movements<br />

<strong>Zygmunt</strong> <strong>Kuś</strong> and <strong>Aleksander</strong> <strong>Nawrat</strong><br />

Abstract. Unmanned aerial vehicles (<strong>UAV</strong>) are very useful platforms for detect<strong>in</strong>g<br />

and track<strong>in</strong>g objects which are located on the ground. The crux of the considered<br />

problem is the tracked object which disappears from a field of view. The<br />

above mentioned may be caused by rapid camera movements. One of the examples<br />

of such a situation is the camera be<strong>in</strong>g attached to helicopter. In case of sudden<br />

gust of w<strong>in</strong>d a helicopter trajectory can be considerably and rapidly changed.<br />

This results <strong>in</strong> los<strong>in</strong>g tracked object from the picture we get from the camera. The<br />

fundamental idea of the solution, which was presented here <strong>in</strong>, was based on additional<br />

data concern<strong>in</strong>g camera orientation and location. Moreover the distance of<br />

a tracked object from the camera is also utilized to correct camera movements.<br />

1 Introduction<br />

Unmanned aerial vehicles (<strong>UAV</strong>) are very useful platforms for detect<strong>in</strong>g and<br />

track<strong>in</strong>g objects which are located on the ground. There are many solutions of an<br />

object track<strong>in</strong>g problem which are based on image process<strong>in</strong>g methods<br />

[1,2,3,4,5,6,7]. <strong>UAV</strong> behavior depends on the weather and type [32]. One of the<br />

problems may be rapid changes of w<strong>in</strong>d and gusts. The follow<strong>in</strong>g paper describes<br />

the problem of a tracked object which disappears from a field of view. There are<br />

three reasons which may cause this problem. Firstly, the object moves faster than<br />

the track<strong>in</strong>g camera head. Secondly, a pattern recognition algorithm has a fault<br />

and as a result it does not recognize the object. F<strong>in</strong>ally, external distortion changes<br />

the position of the camera <strong>in</strong> the way that the object is out of the range of the field<br />

<strong>Zygmunt</strong> <strong>Kuś</strong> ⋅ <strong>Aleksander</strong> <strong>Nawrat</strong><br />

Silesian University of Technology, Institute of Automatic Control,<br />

Akademicka 16, 44-101 Gliwice, Poland<br />

e-mail: {zygmunt.kus,aleksander.nawrat}@polsl.pl<br />

<strong>Aleksander</strong> <strong>Nawrat</strong><br />

Ośrodek Badawczo-Rozwojowy Urządzeń Mechanicznych “OBRUM” sp. z o.o.,<br />

ul. Toszecka 102, 44-117 Gliwice, Poland<br />

e-mail: anawrat@obrum.gliwice.pl<br />

A. <strong>Nawrat</strong> and Z. <strong>Kuś</strong> (Eds.): <strong>Vision</strong> <strong>Based</strong> Systems for <strong>UAV</strong> <strong>Applications</strong>, SCI <strong>481</strong>, pp. 77–91.<br />

DOI: 10.1007/978-3-319-00369-6_5 © Spr<strong>in</strong>ger International Publish<strong>in</strong>g Switzerland <strong>2013</strong>

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