Agris on-line Papers in Economics and Informatics

Faculty of Economics and Management CULS Prague, Kamýcká 129, 165 00 Praha - Suchdol

The international peer-reviewed scientific journal, ISSN 1804-1930


Automated Wildlife Recognition

Josef Pavlíček, Jan Jarolímek, Jiří Jarolímek, Petra Pavlíčková, Stanislav Dvořák, Jan Pavlík, Petr Hanzlík

DOI: 10.7160/aol.2018.100105

Agris on-line Papers in Economics and Informatics, No 1 /2018, March

pp. 51-60

Pavlíček, J., Jarolímek, J., Jarolímek, J., Pavlíčková, P., Dvořák, S., Pavlík, J. and Hanzlík, P. (2018) “Automated Wildlife Recognition", AGRIS on-line Papers in Economics and Informatics, Vol. 10, No. 1, pp. 51-60. ISSN 1804-1930.DOI 10.7160/aol.2018.100105.

Abstract

The estimation of wildlife populations is an issue currently being solved at workplaces on many levels. Knowledge of wildlife population and localization is not only very important for reducing damage to agricultural and forest growth, which arises from the local overgrowth of certain animal species, but also for the protection of endangered species of animals and plants.
The article presents the results of a research carried out during 2017 as the first partial objective of a complex automated wildlife estimation project, namely the recognition of game in a free landscape without vegetation cover from an UAV (unmanned aerial vehicle). The paper describes a method of finding game animals in a selected area and identifies problems with the recognition of the animals hiding in the vegetation. These results play an important role in solving the overall complex p roblem of automated game recognition.

Keywords

Wildlife, automated recognition, picture segmentation, neural networks, mimicry, false positive recognition.

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