Adaptation of the selection method for the image of a small-sized object on a non-uniform background to the conditions of video surveillance
https://doi.org/10.34680/2076-8052.2021.2(123).66-70
Abstract
The article deals with the selection of object images in television systems for applied purposes, namely, one of the methods of object selection based on compensation of non-uniformity background. An approach to adapting the method to the conditions of convergence of an object with a video surveillance point is described. Additional processing of the input signal is considered, which provides an exchange of resolution for the signal-to-noise ratio as the object size increases. Variants of structural schemes of the selection device are given. The results obtained by computer simulation of the adapted method are discussed. Examples of test images and graphs of quantitative dependencies are provided. Comparative diagrams of the average, maximum and root-mean-square deviation of the coordinates of the selected object from the reference values for all frames of the test video sequence for the adapted and original method are shown.
About the Authors
N. P. Kornyshev
Новгородский государственный университет имени Ярослава Мудрого
Russian Federation
Russian Federation
D. A. Serebryakov
Новгородский государственный университет имени Ярослава Мудрого
Russian Federation
Russian Federation
References
1. Tsytsulin A.K., Pavlov V.A., Bobrovskiy A.I. et al. Informatsionnye otsenki v zadachakh obnaruzheniyaotsenivaniya-peredachi signala v kosmicheskom televidenii [Information evaluations of signal detection-estimation-transfer task in space television systems]. Voprosy radioelektroniki. Ser. Tekhnika televideniya. 2019, iss. 3, pp. 61-74.
2. Tsytsulin A.K., Bobrovskiy A.I., Morozov A.V. et al. Primenenie svertochnykh neyronnykh setey dlya avtomaticheskoy selektsii malorazmernykh iskusstvennykh kosmicheskikh ob"ektov na opticheskikh izobrazheniyakh zvezdnogo neba [Using convolutional neural networks to automatically select small artificial space objects on optical images of a starry sky]. Opticheskiy zhurnal, 2019, vol.86, no.10, pp.30-38.
3. Levko G.V., Bobrovskiy A.I., Morozov A.V. et al. Obnaruzhenie ob"ektov na zvezdnom fone [Detection of objects in the starry background]. Voprosy radioelektroniki. Ser. Tekhnika televideniya, 2016, iss. 2, pp. 29-38.
4. Tsytsulin A.K., Pavlov V.A., Bobrovskiy A.I., Morozov A.V., Zubakin I. A. Adaptivnoe kodirovanie izobrazheniy, razdelimykh na dominantnyy ob"ekt i fon [Adaptive coding of images divided into dominant object and background]. Voprosy radioelektroniki. Ser. Tekhnika televideniya, 2019, iss. 3, pp. 75-86.
5. Andreev A.L., Korotaev V.V., Pashkovskiy A.M. Selektsiya izobrazheniy malorazmernykh ob"ektov na neodnorodnom fone v usloviyakh pomekh [Selection of the small-size objects images on the heterogeneous background under the interference conditions]. Izv. Vuzov. Priborostroenie, 2013, vol. 6, no. 10, pp. 88-93.
6. Pratt W. Digital Image Processing: PIKS Scientific Inside, 1978. (Rus. ed.: Tsifrovaya obrabotka izobrazheniy. Book.2. P.575.
7. Kornyshev N.P. Serebryakov D.A. Sposob selektsii izobrazheniya ob"ekta na neodnorodnom fone [Selection method for the image on a non-uniform background]. Patent RF. No.2734655. МПК H04N 7/18. Published 21.10.2020.
8. Gonsalez R., Woods R. Digital Image Processing. Pearson, 2007, 972 p. (Rus. ed.: Tsifrovaya obrabotka izobrazheniy. Moscow, Tekhnosfera, 2005, 1072 p.).
9. Kornyshev N.P., Serebrjakov D.A. Computer simulation of the background-target environment when evaluating the effectiveness of selection methods for objects on a non-uniform background. Vestnik NovSU, 2020, no.2(118).
10. Kornyshev N.P., Serebrjakov D.A. Journal of Physics: Conference Series 1658, 2020, 012029 IOP. Estimation of the probability of correct determination of the coordinates of an object in computer modeling of methods for selecting their images. DOI:10.1088/1742-6596/1658/1/012029
11. Kornyshev N.P., Serebrjakov D.A. Research of selection method of the small object image on a non-uniformity background. Vestnik NovSU, 2020, no.5(121), pp.49-52.
Review
For citations:
Kornyshev N.P., Serebryakov D.A. Adaptation of the selection method for the image of a small-sized object on a non-uniform background to the conditions of video surveillance. Title in english. 2021;(2(123)):66-70. (In Russ.) https://doi.org/10.34680/2076-8052.2021.2(123).66-70
Views:
35
Email this article 