[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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Machine Vision in Autonomous Systems of Detection and Location 25 References [1] Vivotek activex SDK VitaminControl v.4.0.0.3 (July 13, 2011), http://www.vivotek.com [2] Network Camera User’s Manual PZ7111/PZ7112/PZ7121/PZ7122 (July 07, 2010), http://www.vivotek.com [3] Vivotek URL commands for 7000 series V2 v.1.1 (June 06, 2009), http://www.vivotek.com [4] Jaskot, K., Babiarz, A.: The inertial measurement unit for detection of position. Przegląd Elektrotechniczny 86, 323–333 (2010) [5] Babiarz, A., Jaskot, K., Koralewicz, P.: The control system for autonomous mobile platform. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems. SCI, vol. 440, pp. 15–28. Springer, Heidelberg (2013) [6] Babiarz, A., Jaskot, K.: The concept of collision-free path planning of UAV objects. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems. SCI, vol. 440, pp. 81–94. Springer, Heidelberg (2013) [7] Daniec, K., Jedrasiak, K., Koteras, R., Nawrat, A.: Embedded micro inertial navigation system. Applied Mechanics and Materials 249-250, 1234–1246 (2013) [8] Jędrasiak, K., Bereska, D., Nawrat, A.: The prototype of gyro-stabilized UAV gimbal for day-night surveillance. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems. SCI, vol. 440, pp. 107–115. Springer, Heidelberg (2013) [9] Iwaneczko, P., Jędrasiak, K., Daniec, K., Nawrat, A.: A prototype of unmanned aerial vehicle for image acquisition. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2012. LNCS, vol. 7594, pp. 87–94. Springer, Heidelberg (2012) [10] Jȩ drasiak, K., Nawrat, A.: Image recognition technique for unmanned aerial vehicles. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds.) ICCVG 2008. LNCS, vol. 5337, pp. 391–399. Springer, Heidelberg (2009)
Recognition and Location of Objects in the Visual Field of a UAV Vision System Robert Bieda, Krzysztof Jaskot, Karol Jędrasiak, and Aleksander Nawrat Abstract. The aim of this methodology is a creation of a tool which would be able to construct a system for obtaining information about objects in the environment of the vision system. This task is often defined as a sub-task in the primary problem of the automatic task completion by the independent UAV unit using visual information. These researches concerned the construction of the algorithm that would allow the location of objects in the image, identification of these objects by classifying them into appropriate (previously declared) class, and then sending information about the sought-after object / objects to the actuator control module. 1 Detection of Objects in the Image The first step aimed at detecting the object(s) in the surrounding field of the camera view is carrying out the image segmentation. The video camera could be mounted under an UAV [12] and controlled by micro navigation system [10] via communication system with multiple mobile vehicles [11]. Operator using the UAV in order to acquire aerial images requires real time image processing. Therefore the main requirement for practical image processing algorithms is the time of execution [13]. Image segmentation allow to distinct the areas representing different elements of the analyzed scene. To achieve this purpose, there was used a simple operation involving the segmentation of individual pixels assigned to one of two predefined classes: the background or the object. The process of classification of individual points is made based on the brightness level of the individual points. The value of the brightness of a point is compared with the value of the Robert Bieda ⋅ Krzysztof Jaskot ⋅ Karol Jędrasiak ⋅ Aleksander Nawrat Silesian University of Technology, Institute of Automatic Control, Akademicka 16, 44-101 Gliwice, Poland e-mail: {robert.bieda,karol.jedrasiak,krzysztof.jaskot, anawrat}@polsl.pl A. Nawrat and Z. Kuś (Eds.): Vision Based Systems for UAV Applications, SCI 481, pp. 27–45. DOI: 10.1007/978-3-319-00369-6_2 © Springer International Publishing Switzerland 2013
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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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