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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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Recognition and Location of Objects <strong>in</strong> the<br />

Visual Field of a <strong>UAV</strong> <strong>Vision</strong> System<br />

<strong>Robert</strong> <strong>Bieda</strong>, Krzysztof Jaskot, <strong>Karol</strong> <strong>Jędrasiak</strong>, and <strong>Aleksander</strong> <strong>Nawrat</strong><br />

Abstract. The aim of this methodology is a creation of a tool which would be able<br />

to construct a system for obta<strong>in</strong><strong>in</strong>g <strong>in</strong>formation about objects <strong>in</strong> the environment<br />

of the vision system. This task is often def<strong>in</strong>ed as a sub-task <strong>in</strong> the primary problem<br />

of the automatic task completion by the <strong>in</strong>dependent <strong>UAV</strong> unit us<strong>in</strong>g visual<br />

<strong>in</strong>formation. These researches concerned the construction of the algorithm that<br />

would allow the location of objects <strong>in</strong> the image, identification of these objects by<br />

classify<strong>in</strong>g them <strong>in</strong>to appropriate (previously declared) class, and then send<strong>in</strong>g<br />

<strong>in</strong>formation about the sought-after object / objects to the actuator control module.<br />

1 Detection of Objects <strong>in</strong> the Image<br />

The first step aimed at detect<strong>in</strong>g the object(s) <strong>in</strong> the surround<strong>in</strong>g field of the camera<br />

view is carry<strong>in</strong>g out the image segmentation. The video camera could be<br />

mounted under an <strong>UAV</strong> [12] and controlled by micro navigation system [10] via<br />

communication system with multiple mobile vehicles [11]. Operator us<strong>in</strong>g the<br />

<strong>UAV</strong> <strong>in</strong> order to acquire aerial images requires real time image process<strong>in</strong>g. Therefore<br />

the ma<strong>in</strong> requirement for practical image process<strong>in</strong>g algorithms is the time of<br />

execution [13]. Image segmentation allow to dist<strong>in</strong>ct the areas represent<strong>in</strong>g different<br />

elements of the analyzed scene. To achieve this purpose, there was used a<br />

simple operation <strong>in</strong>volv<strong>in</strong>g the segmentation of <strong>in</strong>dividual pixels assigned to one<br />

of two predef<strong>in</strong>ed classes: the background or the object. The process of classification<br />

of <strong>in</strong>dividual po<strong>in</strong>ts is made based on the brightness level of the <strong>in</strong>dividual<br />

po<strong>in</strong>ts. The value of the brightness of a po<strong>in</strong>t is compared with the value of the<br />

<strong>Robert</strong> <strong>Bieda</strong> ⋅ Krzysztof Jaskot ⋅ <strong>Karol</strong> <strong>Jędrasiak</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: {robert.bieda,karol.jedrasiak,krzysztof.jaskot,<br />

anawrat}@polsl.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. 27–45.<br />

DOI: 10.1007/978-3-319-00369-6_2 © Spr<strong>in</strong>ger International Publish<strong>in</strong>g Switzerland <strong>2013</strong>

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