УДК: 004.932.2, 517.968, 681.7.014.3

Detecting a dynamic object on a complex background from a low-contrast point image on an optoelectronic device

Guzenko, O.B., Katulev, A.N., Kolonskov, A.A., Khramichev, A.A.

Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Гузенко О.Б., Катулев А.Н., Колонсков А.А., Храмичев А.А. Обнаружение динамического объекта на сложном фоне по точечному слабоконтрастному изображению оптико-электронного прибора // Оптический журнал. 2014. Т. 81. № 11. С. 51–61.

Guzenko O.B., Katulev A.N., Kolonskov A.A., Khramichev A.A. Detecting a dynamic object on a complex background from a low-contrast point image on an optoelectronic device [in Russian] // Opticheskii Zhurnal. 2014. V. 81. № 11. P. 51–61.

For citation (Journal of Optical Technology):

O. B. Guzenko, A. N. Katulev, A. A. Kolonskov, and A. A. Khramichev, "Detecting a dynamic object on a complex background from a low-contrast point image on an optoelectronic device," Journal of Optical Technology. 81(11), 656-664 (2014). https://doi.org/10.1364/JOT.81.000656

Abstract:

This paper proposes a method of detecting dynamic objects on an image from an optoelectronic device when there is a complex background formed by dense cumulus and altocumulus clouds. The image of the object is a small (point), low-contrast image. The fractal-correlation method is based on the use of a sample in the form of the ratio of the likelihood functions of close-by alternative situations of the type “only a complex background is observed in the viewing zone of the optoelectronic device” or “a dynamic object on a complex background is observed in the viewing zone of the optoelectronic device.” An algorithm is constructed for detecting a dynamic object as a binary accumulator, using the local, most powerful criterion. The critical limit for making a decision is determined according to the Neyman–Pearson lemma for the allowable false-detection probability of a dynamic object. Modelling is used to establish the high effectiveness of the method.

Keywords:

optoelectronic device, method of detecting, point image, low contrast, complex background, close-by situations, criterion for detecting

OCIS codes: 100.0100, 100.2000, 110.3960.100.2000

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