[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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Thermal Camera for Autonomous Mobile Platforms 113 High resolution of the applied focal plane array together with relatively high thermal sensitivity allowed to achieve quite long detection, recognition and identification ranges. The observations of real objects were performed during field tests in various visibility conditions. Sample thermal image of a group of persons and passenger cars is shown in Fig. 21. The developed camera is a small, lightweight and efficient device with low power consumption. It can be applied in surveillance, reconnaissance and defense systems mounted onboard unmanned aerial vehicles. References [1] Kastek, M., Sosnowski, T., Orzanowski, T., Kopczyński, K., Kwaśny, M.: Multispectral gas detection method. WIT Transactions on Ecology and the Environment 123, 227–236 (2009) [2] Madura, H.: Method of signal processing in passive infrared detectors for security systems. Computational Methods and Experimental Measurements, WIT Transactions on Modelling and Simulation 46, 757–768 (2007) [3] Bieszczad, G., Orzanowski, T., Sosnowski, T., Kastek, M.: Method of detectors offset correction in thermovision camera with uncooled microbolometric focal plane array. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 7481, art. no. 748100 (2009) [4] Orżanowski, T., Madura, H., Kastek, M., Sosnowski, T.: Nonuniformity correction algorithm for microbolometer infrared focal plane array. In: Advanced Infrared Technology and Applications, AITA 9, Leon, November 8-12 (2007) [5] Bieszczad, G., Sosnowski, T., Madura, H.: Improved sum-of-squared-differences tracking algorithm for thermal vision systems. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 8193, art. no. 81932R (2011) [6] Venkateswarlu, R., Er, M.H., Gan, Y.H., Fong, Y.C.: Nonuniformity compensation for IR focal plane array sensors. In: Proc. SPIE, vol. 3061, pp. 915–926 (1997) [7] Zhou, B., Wang, Y., Ye, Y., Wu, X., Ying, J.: Realize multi-point method for realtime correction of nonuniformity of uncooled IRFPA. In: Proc. SPIE, vol. 5640, pp. 368–375 (2005); Booth, N., Smith, A.S.: Infrared Detectors, pp. 241–248. Goodwin House Publishers, New York (1997) [8] Bieszczad, G., Sosnowski, T., Madura, H., Kastek, M., Barela, J.: Adaptable infrared image processing module implemented in FPGA. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 7660, art. no. 76603Z (2010) [9] Sosnowski, T., Bieszczad, G., Madura, H., Kastek, M., Firmanty, K.: The calibration stand for thermal camera module with cooled infrared focal plane array. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 7660, art. no. 76603Y (2010) [10] Madura, H., Kołodziejczyk, M.: Influence of sun radiation on results of non-contact temperature measurements in far infrared range. Opto-electronics Review 13(3), 253–257 (2005)
114 G. Bieszczad et al. [11] Krupiński, M., Sosnowski, T., Madura, H., Dabrowski, M.: Infrared and visible image registration algorithm [Algorytm syntezy obrazu termowizyjnego z obrazem z kamery wideo]. Przeglad Elektrotechniczny 88(11 B), 83–86 (2012) [12] Sosnowski, T., Bieszczad, G., Kastek, M., Madura, H.: Processing of the image from infrared focal plane array using FPGA-based system. In: Proceedings of the 17th International Conference - Mixed Design of Integrated Circuits and Systems, MIXDES 2010, art. no. 5551280, pp. 581–586 (2010) [13] Sosnowski, T., Bieszczad, G., Kastek, M., Madura, H.: Digital image processing in high resolution infrared camera with use of programmable logic device. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 7838, art. no. 78380U (2010) [14] Kastek, M., Dulski, R., Trzaskawka, P., Sosnowski, T., Madura, H.: Concept of infrared sensor module for sniper detection system. In: IRMMW-THz 2010 - 35th International Conference on Infrared, Millimeter, and Terahertz Waves, Conference Guide, art. no. 5612447 (2010)
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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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XX List of Contributors Józef Wron
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2 Design of Object Detection, Recog
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4 A. Babiarz et al. 1 Introduction
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6 A. Babiarz et al. The description
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8 A. Babiarz et al. a) b) Fig. 5. T
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10 A. Babiarz et al. o o o “micvo
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12 A. Babiarz et al. a) b) Fig. 7.
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14 A. Babiarz et al. • The camera
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16 A. Babiarz et al. the camera ser
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18 A. Babiarz et al. a) b) Fig. 11.
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20 A. Babiarz et al. patrol point i
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22 A. Babiarz et al. particular ang
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24 A. Babiarz et al. The sample cod
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Recognition and Location of Objects
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48 P. Demski et al. Fig. 1. Automat
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50 P. Demski et al. E-Grip firing m
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52 P. Demski et al. 4 Automatic Tar
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54 P. Demski et al. implementing su
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Object Tracking for Rapid Camera Mo
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Object Tracking for Rapid Camera Mo
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A Distributed Control Group of Mobi
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178 D. Bereska et al. The aim of th
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180 D. Bereska et al. 3 Control Alg
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182 D. Bereska et al. Fig. 5. Schem
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184 D. Bereska et al. 4.1 Mechanica
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186 D. Bereska et al. 4.1.3 Open-Lo
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188 D. Bereska et al. Fig. 16. Comp
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Probabilistic Approach to Planning
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206 Practical Applications of Class
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208 M. Mellado and K. Skrzypczyk an
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210 M. Mellado and K. Skrzypczyk a
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212 M. Mellado and K. Skrzypczyk wh
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214 M. Mellado and K. Skrzypczyk Fi
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Prototyping the Autonomous Flight A
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Feature Extraction and HMM-Based Cl
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248 K. Daniec et al. In this articl
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250 K. Daniec et al. Fig. 2. Applic
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252 K. Daniec et al. by the ability
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254 K. Daniec et al. The idea of us
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Selection of Individual Gait Featur
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274 A. Nawrat et al. alia weather c
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276 A. Nawrat et al. have an embedd
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278 A. Nawrat et al. particular cha
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280 A. Nawrat et al. • 1-phase el
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282 A. Nawrat et al. The phase cond
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284 A. Nawrat et al. Table 1. Compa
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286 A. Nawrat et al. P3 P3 P3 71101
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288 A. Nawrat et al. S, VA 4,510 4,
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290 A. Nawrat et al. Comparison dif
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Technology Development of Military
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312 A. Czornik, A. Nawrat, and M. N
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328 M. Koźlak, A. Kurzeja, and A.
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344 Conclusions Control algorithms
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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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