Open Access Open Access  Restricted Access Subscription or Fee Access

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


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.


object detection, active perception theory, pattern recognition.

Full Text:



  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.