[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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The Dedicated Wireless Communication Device for Group of Unmanned Vehicles 255 [7] Reising, D.R., Temple, M.A., Mendenhall, M.J.: 3, no, vol. 3(1), p. 41. Inderscience Publishers (2010) [8] Topór-Kamiñski, T., Krupanek, B., Homa, J.: Delays Models of Measurement and Control Data Transmission Network. In: Nawrat, A., Simek, K., Świerniak, A. (eds.) Advanced Technologies for Intelligent Systems of National Border Security. SCI, vol. 440, pp. 257–278. 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] Nawrat, N., Kozak, K., Daniec, K., Koteras, R.: Differential navigation for UAV platforms with mobile reference station. In: Proceedings of the International Conference on Applied Computer Science, pp. 465–471 (2010) [11] Kozak, K., Koteras, R., Daniec, K., Nawrat, A.: qB-Distributed real time control system in UAV design. In: Proceedings of the 13th WSEAS International Conference on Systems, pp. 185– 189 (2009)
Selection of Individual Gait Features Extracted by MPCA Applied to Video Recordings Data Henryk Josiński, Agnieszka Michalczuk, Andrzej Polański, Adam Świtoński, and Konrad Wojciechowski Abstract. The scope of this article is selection of individual gait features of video recordings data. The gait sequences are considered to be the 3rd-order tensors and their features are extracted by Multilinear Principal Component Analysis. Obtained gait descriptors are reduced by the supervised selection with greedy hill climbing and genetics search methods. To evaluate the explored individual feature sets, classification is carried out and CFS correlation based measure is utilized. The experimental phase is based on the CASIA Gait Database 'dataset A'. The obtained results are promising. Feature selection gives much more compact gait descriptors and causes significant improvement of human identification. 1 Introduction Gait is defined as coordinated cyclic combination of movements which results in human locomotion [5]. There are strong individual gait features which allows for efficient identification. Such a biometric technique does not require awareness of identified human, which is a great advantage in comparing to other methods. Most simple and most often used gait acquisition is carried out by traditional video cameras. The gait is usually represented by a sequence of binary silhouettes determined by background subtraction. The classification of a motion data can be performed on the basis of extracted feature sets of the time sequences. For instance in [8] the first two lowest Fourier components are chosen and in [20] four types of features are proposed for gait Henryk Josiński ⋅ Agnieszka Michalczuk ⋅ Andrzej Polański ⋅ Adam Świtoński ⋅ Konrad Wojciechowski Silesian University of Technology, Institute of Computer Science, Akademicka 16, 44-101 Gliwice, Poland e-mail: {adam.switonski,henryk.josinski,andrzej.polanski, konrad.wojciechowski}@polsl.pl A. Nawrat and Z. Kuś (Eds.): Vision Based Systems for UAV Applications, SCI 481, pp. 257–271. DOI: 10.1007/978-3-319-00369-6_17 © Springer International Publishing Switzerland 2013
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Studies in Computational Intelligen
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Aleksander Nawrat · Zygmunt Kuś E
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“In God We Trust, All others we o
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VIII Preface valuable information i
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Contents Part I: Design of Object D
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Contents XIII Technology Developmen
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XVI List of Contributors Adam Czorn
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XVIII List of Contributors Henryk M
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2 Design of Object Detection, Recog
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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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