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Image acquisition system based on synchronized high-resolution gigabit ethernet cameras

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Over the past few years, a huge increase in the number of various computer vision applications can be observed. These are widely used in such areas as video surveillance, medical diagnostics, biometrics recognition, and the automotive and military industries. Most of these solutions take advantage of high-resolution cameras in order to obtain high-quality images. Surprisingly, little attention is paid in the literature to the practical implementation of off- the-shelf image acquisition systems. Most of the available solutions are composed of custom-developed electronic devices that use specialized multi-core DSPs and/or FPGA technology. Therefore, a novel realization of a scalable and comprehensive image acquisition system based on synchronized high-resolution Gigabit Ethernet cameras is presented in this paper. The proposed solution allows for the connection of multiple cameras along with any number of external illumination modules. The selected devices can be synchronized with each other in user-defined configurations; hence, a designed solution can be easily integrated in both simple and complex applications. The authors describe the design and implementation processes of the proposed platform in detail. The performance issues that can occur in such systems are presented and discussed. The obtained results are encouraging and useful for the development of similar solutions.
Wydawca
Czasopismo
Rocznik
Strony
179--194
Opis fizyczny
Bibliogr. 40 poz., rys., wykr., tab.
Twórcy
  • Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland
autor
  • Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland
  • Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland
autor
  • Lodz University of Technology, Department of Microelectronics and Computer Science, Lodz, Poland
Bibliografia
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  • [5] Choi H., Park U, Jain A.K.: PTZ camera assisted face acquisition, tracking and recognition. In: IEEE International Conference on Biometrics: Theory, Applications and Systems , 2010.
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  • [19] Kacperski D., Krotewicz P., Wlodarczyk M., Grabowski K.: Pose-oriented face images acquisition platform. In: 2016 MIXDES – 23rd International Conference Mixed Design of Integrated Circuits and Systems , pp. 419–424, 2016.
  • [20] Kacperski D., Sankowski W., Włodarczyk M., Grabowski K.: Calibration of Vision Systems Operating in Separate Coordinate Systems, International Journal of Microelectronics and Computer Science , vol. 7(1), pp. 10–15, 2016.
  • [21] Kazemi V., Sullivan J.: One Millisecond Face Alignment with an Ensemble of Regression Trees. In: IEEE Conference on Computer Vision and Patter Recognition , 2014.
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  • [25] Makowski D., Mielczarek A., Perek P., Jabłoński G., Orlikowski M., Sakowicz B., Napieralski A., Makijarvi P., Simrock S., Martin V.: High-Performance Image Acquisition and Processing System with MTCA.4. In: IEEE Transactions on Nuclear Science , vol. 62(3), pp. 925–931, 2015.
  • [26] Malvar H., Li-wei H., Cutler R.: High-quality linear interpolation for demosaicing of Bayer-patterned color images. In: IEEE International Conference on Acoustic, Speech, and Signal Processing , 2004.
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  • [34] Park U., Ross A., Jain A.K.: Periocular biometrics in the visible spectrum: A feasibility study. In: 3rd IEEE International Conference on Biometrics: Theory, Applications and Systems , pp. 1–6, 2009.
  • [35] Senpheng M., Ruchanurucks M.: Automatic landing assistant system based on stripe lines on runway using computer vision. In: 2015 International Conference on Science and Technology (TICST) , pp. 35–39, 2015.
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Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-84b4a7a7-9da0-4458-8d75-2b375e82b943
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