Sirmacek, Beril und Wegmann, Martin und Reinartz, Peter und Dech, Stefan (2012) Automatic population counts for improved wildlife management using aerial photography. In: iEMSs Proceedings 2012, Seiten 1-8. IEMSS 2012, 2012-07-01 - 2012-07-05, Leipzig, Deutschland. ISBN 9788890357428.
Dieses Archiv kann nicht den Volltext zur Verfügung stellen.
Offizielle URL: http://www.iemss.org/society/index.php/iemss-2012-proceedings
Kurzfassung
For effective conservation management, it is very important to provide accurate estimates of animal populations with certain time intervals. So far many studies are performed visually/manually which requires much time and is prone to errors. Besides, only a limited area can be considered for counting because of the effort required. In order to bring a new solution to this problem, herein we propose a novel approach for counting animals from aerial images by using computer vision techniques. To do so, we apply a probabilistic framework on local features in the image whose spectral reflectance differs from the surrounding region. We use mean shift segmentation and obtain probability density function (pdf) to detect focus of attention regions (FOA). Finally, we benefit from graph theory to detect segments which should represent animals. We test the feasibility of the proposed approach using aerial images of varying quality and angles (including orthogonal time lapse photography) from several different terrestrial ecosystems. Monitored species include birds and mammals. The algorithms successfully detect and count animals and provide a replicable and objective method for estimating animal abundance, however the methodology still requires estimates of error to be incorporated. This approach highlights how technical innovations in remote sensing can provide valuable information for conservation management.
elib-URL des Eintrags: | https://elib.dlr.de/79188/ | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dokumentart: | Konferenzbeitrag (Vortrag, Paper) | ||||||||||||||||||||
Titel: | Automatic population counts for improved wildlife management using aerial photography | ||||||||||||||||||||
Autoren: |
| ||||||||||||||||||||
Datum: | Juli 2012 | ||||||||||||||||||||
Erschienen in: | iEMSs Proceedings 2012 | ||||||||||||||||||||
Referierte Publikation: | Nein | ||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
Seitenbereich: | Seiten 1-8 | ||||||||||||||||||||
Herausgeber: |
| ||||||||||||||||||||
ISBN: | 9788890357428 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | Aerial imagery, Local Feature Extraction, Probability Density Function, Mean-Shift Segmentation, Graph Theory, Graph-Cut, Animal Detection, Animal Counting | ||||||||||||||||||||
Veranstaltungstitel: | IEMSS 2012 | ||||||||||||||||||||
Veranstaltungsort: | Leipzig, Deutschland | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 1 Juli 2012 | ||||||||||||||||||||
Veranstaltungsende: | 5 Juli 2012 | ||||||||||||||||||||
Veranstalter : | International Environmental Modelling & Software Society | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||||||
HGF - Programmthema: | Verkehrsmanagement (alt) | ||||||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||
DLR - Forschungsgebiet: | V VM - Verkehrsmanagement | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - Projekt VABENE (alt) | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Leitungsbereich DFD Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||||||||||
Hinterlegt von: | Reinartz, Prof. Dr.. Peter | ||||||||||||||||||||
Hinterlegt am: | 29 Nov 2012 14:07 | ||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 19:45 |
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags