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Video register picture evaluation to support drivers training and examination

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This paper refers to some problems with digital video recording of picture during driver training and examination process for obtaining driving license. Since 10 April 2006 year, all examining institutions must use video and audio recording devices in Poland. The legal regulations in force do not clearly determine the functional requirements and technical parameters for video recorders; hence the actual devices used do not meet user requirements. There is main influence on the picture quality have the optical system of the camera. Considerable influence on the quality has an aberration errors. Aberration leads to blurring of the image produced by an image-forming optical system. Aberrations fall into monochromatic and chromatic classes of optical errors. Monochromatic aberrations produced without dispersion. These include the aberrations at reflecting surfaces of any coloured light, and at refracting surfaces of monochromatic light of single wavelength. This paper describes all types of aberration. Charge-coupled device (CCDs) used as main part of the digital cameras, however, there is now a well-established alternative, the CMOS image sensor. Both CCD and CMOS image sensors, described this paper, capture light using a grid of small photo sites on their surfaces. This paper describes advantages and disadvantages of both transducers. The authors have made an attempt to determine camera parameters, their location and quality of the picture. In mentioned case the objective and subjective picture validation methods and sample pictures from the cameras will be presented.
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  • Motor Transport Institute Jagiellońska Street 80, 03-301 Warsaw, Poland tel.: +48 22 8113231, fax: +48 22 8110906, tomasz.kaminski@its.waw.pl
Bibliografia
  • [1] Regulation of Infrastructure Minister from 27 September 2005 on training, examination and taking authorizations of drivers, instructors and examiners, Official Journal 2005, No. 217, pos. 1834, 2005.
  • [2] Przelaskowski, A., Data compression, basis, methods, picture codes, Publisher BTC, Warsaw 2005.
  • [3] EN55022:1998, Radio disturbances, Noise (spurious signals), Computer terminals, Data processing equipment, Computers, Communication equipment, Communication networks, Radiofrequencies, Interference suppression.
  • [4] EN 50132-2-1:1997, Alarm systems, Closed-circuit television, Crime prevention devices, Security systems in buildings, Anti-burglar measures, Cameras, Television cameras, Testing conditions, Test equipment, Endurance testing, Performance testing, Environmental testing, Sensitivity, Signal-to-noise ratio, Dry-heat tests, Cold tests, Damp-heat tests, Vibration, Corrosion resistance, Dust-tightness tests, Monochrome television.
  • [5] Kornatowski, E., Kowalski, J., Mikołajczak, G., Poksiński, J., Inżynieria cyfrowego przetwarzania obrazów, Filtracja liniowa i nieliniowa obrazów dyskretnych, Wydawnictwo Hogben, Szczecin 2005.
  • [6] Kornatowski, E., Kryterium obiektywnej oceny jakości obrazów cyfrowych, Międzynarodowa Konferencja z Podstaw Elektrotechniki i Teorii Obwodów IC-SPETO'2005, Gliwice-Ustroń 2005.
  • [7] Kornatowski, E., Ocena jakości obrazów skompresowanych, Technologie Teleinformatyczne, Nr 1, 2004.
  • [8] Kornatowski, E., Uniwersalna miara oceny jakości obrazów cyfrowych, Kwartalnik Elektroniki i Telekomunikacji, R. 52, Nr 4, 2006.
  • [9] Lech, P., Algorytm detektora ruchu dla systemów cyfrowego przetwarzania obrazów, Konferencja Naukowo-Techniczna „Zastosowania Komputerów w Elektrotechnice” ZKwE'2004, T. I, s. 361-364, Poznań-Kiekrz 2004.
  • [10] Lech, P., Implementacja szybkiego algorytmu detektora ruchu w kamerze IP. Międzynarodowa Konferencja z Podstaw Elektrotechniki i Teorii Obwodów IC-SPETO'2005, Gliwice-Ustroń 2005.
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Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ5-0034-0027
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