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Object detection in images from the perspective of the active perception theory

Andrey A. Filyakov, Vasily E. Gai, Alla A. Koshurina, Maxim S. Krasheninnikov, Maxim O. Derbasov, Igor V. Polyakov, Dmitry I. Zhurba

Abstract



Object detection in images is a highly topical problem of theoretical computer science. The effectiveness of object detection depends on the chosen method of presenting the image, i.e. on its feature description. This article describes a new method of feature descriptor construction based on the active perception theory (APT). The results of a computational experiment for evaluating the accuracy of object localization under different conditions are presented.

Keywords


object detection, active perception theory, pattern recognition.

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