Automated Wildlife Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F18%3A78591" target="_blank" >RIV/60460709:41110/18:78591 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41320/18:78591
Result on the web
<a href="http://dx.doi.org/10.7160/aol.2018.100105" target="_blank" >http://dx.doi.org/10.7160/aol.2018.100105</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7160/aol.2018.100105" target="_blank" >10.7160/aol.2018.100105</a>
Alternative languages
Result language
angličtina
Original language name
Automated Wildlife Recognition
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
AGRIS on-line Papers in Economics and Informatics
ISSN
1804-1930
e-ISSN
1804-1930
Volume of the periodical
10
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
51-60
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85044719864