Extraction of Moving Objects in the Presence of Scale Transformations in a Sequence of Images

Author:

Babayan P.V.1ORCID,Kozhina E.S.1ORCID

Affiliation:

1. Ryazan State Radio Engineering University named after V.F. Utkin

Abstract

The paper considers the problem of extraction of moving objects by subtracting the background in the presence of scale geometric transformations. A multi-reference algorithm is used as an algorithm for estimation of scale transformations. An algorithm for automatic extraction of moving objects is proposed, taking into account the geometric transformations caused by the movement of the image sensor. The results of experimental studies obtained using real-world videos affected by scaling using software. During the testing of the algorithm, the influence of the scale estimation parameter on the quality of object extraction was investigated. The algorithm proposed shows sufficiently higher efficiency in comparison with commonly used approach. The algorithm can be used in machine vision systems of aircrafts, mobile robots, and video surveillance systems.

Publisher

Keldysh Institute of Applied Mathematics

Reference7 articles.

1. Бабаян П.В., Кожина Е.С. Автоматическое выделение объектов в видеоинформационной системе в условиях масштабных преобразований // Цифровая обработка сигналов и её применение. DSPA-2022: Доклады 24-ой Международной конференции, – Москва: РНТОРЭС им. А.С. Попова, 2022. – С. 257-260.

2. Hakim Bendjenna, Abdallah Meraoumia, Othaila Chergui, «Pattern recognition system: from classical methods to deep learning techniques», J. Electron. Imaging 27(3), 033008 (2018).

3. Junhua Yan, Jun Du, Yong Young, «Real-time unmanned aerial vehicle tracking of fast moving small target on ground», J. Electron. Imaging 27(5), 053010 (2018).

4. Xiaohe Wu, Weisong Wang, Fei Yang, «Joint learning of Siamese network with top-down modulation and hard example mining for visual tracking», J. Electron. Imaging 28(5), 053034 (2019).

5. Danelljan, A. Robinson, F. S. Khan, and M. Felsberg, «Beyond correlation filters: Learning continuous convolution operators for visual tracking», in Proc. Eur. Conf. Comput. Vis., 2016, pp. 472–488.

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