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Improved method for passive ranging based on surface estimation of an airborne object using an infrared image sensor

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A new method for passive ranging using image size measurements from one sensor has been presented. The method relies on pixel filtration with histogram-based thresholding, followed by intensity and gradient magnitude analysis. Its efficiency and robustness were assessed in real infrared surveillance sequences, and it has proved to lead to better results than non-filtering techniques. The object distance estimation mean relative error does not exceed 3%, which implies that the suggested method enables precise range estimation based on object size measurements. To maximize the benefits of the suggested method, Kalman filter has been included in the algorithm in order to overcome fluctuations of the estimated object size.
Czasopismo
Rocznik
Strony
383--394
Opis fizyczny
Bibliogr. 13 poz., tab., rys.
Twórcy
autor
  • Military Academy, University of Defence, Pavla Jurišića Šturma 33, 11000 Belgrade, Serbia
autor
  • Military Academy, University of Defence, Pavla Jurišića Šturma 33, 11000 Belgrade, Serbia
  • Military Academy, University of Defence, Pavla Jurišića Šturma 33, 11000 Belgrade, Serbia
  • Military Academy, University of Defence, Pavla Jurišića Šturma 33, 11000 Belgrade, Serbia
Bibliografia
  • [1] ANDERSON J.R., HAWKS M.R., GROSS K.C., PERRAM G.P., Flight test of an imaging O2(X-b) monocular passive ranging instrument, Proceedings of SPIE 8020, 2011, article ID 802005.
  • [2] DIAO W.-H., MAO X., CHANG L., JIANG L., Operating distance evaluation method for infrared imaging system under complicated backgrounds, Electronics Letters 45(25), 2009, pp. 1309–1310.
  • [3] BENET G., BLANES F., SIMÓ J.E., PÉREZ P., Using infrared sensors for distance measurement in mobile robots, Robotics and Autonomous Systems 40(4), 2002, pp. 255–266.
  • [4] JIAN-ZHONG XU, ZU-LIN WANG, YI-HUAN ZHAO, XU-JING GUO, A distance estimation algorithm based on infrared imaging guided, International Conference on Machine Learning and Cybernetics, Vol. 4, 2009, pp. 2343–2346.
  • [5] ZAPPI P., FARELLA E., BENINI L., Tracking motion direction and distance with pyroelectric IR sensors, IEEE Sensors Journal 10(9), 2010, pp. 1486–1494.
  • [6] SRIVASTAVA H.B., LIMBU Y.B., SARAN R., KUMAR A., Airborne infrared search and track systems, Defence Science Journal 57(5), 2007, pp. 739–753.
  • [7] DE VISSER M., SCHWERING P.B.W., DE GROOT J.F., HENDRIKS E.A., Passive ranging using an infrared search and track sensor, Optical Engineering 45(2), 2006, article ID 026402.
  • [8] CHRZANOWSKI K., Review of night vision technology, Opto-Electronics Review 21(2), 2013, pp. 153–181.
  • [9] BONDŽULIĆ B.P., MITROVIĆ S.T., BARBARIĆ Ž.P., ANDRIĆ M.S., A comparative analysis of three mon- ocular passive ranging methods on real infrared sequences, Journal of Electrical Engineering 64(5), 2013, pp. 305–310.
  • [10] ATHERTON T.J., KERBYSON D.J., NUDD G.R., Passive estimation of range to objects from image sequences, Proceedings of the British Machine Vision Conference, Springer, London, 1991, pp. 343–346.
  • [11] MITROVIĆ S.T., BONDŽULIĆ B.P., ANDRIĆ M.S., BARBARIĆ Ž.P., The statistical approach for overcoming the sensor saturation effect in passive ranging, Elektronika ir Elektrotechnika 20(2), 2014, pp. 52–57.
  • [12] HOONKYUNG CHO, JOOHWAN CHUN, DOOCHUN SEO, SEOKWEON CHOI, Range estimation of passive infrared targets through the atmosphere, Optical Engineering 52(4), 2013, article ID 046402.
  • [13] OTSU N., A threshold selection method from gray-level histograms, IEEE Transactions on Systems, Man, and Cybernetics 9(1), 1979, pp. 62–66.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-095580bd-a1d7-4a0f-bba9-03626be9e427
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