Automated Wildlife Recognition
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/60460709:41320/18:78591
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Automated Wildlife Recognition
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Automated Wildlife Recognition
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
AGRIS on-line Papers in Economics and Informatics
ISSN
1804-1930
e-ISSN
1804-1930
Svazek periodika
10
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
10
Strana od-do
51-60
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85044719864