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  Vision Based Victim Detection from Unmanned Aerial Vehicles

Andriluka, M., Schnitzspan, P., Meyer, J., Kohlbrecher, S., Petersen, K., Stryk, O. v., et al. (2010). Vision Based Victim Detection from Unmanned Aerial Vehicles. In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 1740-1747). Piscataway, NJ: IEEE. doi:10.1109/IROS.2010.5649223.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-15DA-A Versions-Permalink: https://hdl.handle.net/21.11116/0000-000E-2371-B
Genre: Konferenzbeitrag

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 Urheber:
Andriluka, Mykhaylo1, Autor
Schnitzspan, Paul1, Autor
Meyer, Johannes1, Autor
Kohlbrecher, Stefan1, Autor
Petersen, Karen1, Autor
Stryk, Oskar von1, Autor
Roth, Stefan1, Autor
Schiele, Bernt2, Autor                 
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              

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Schlagwörter: -
 Zusammenfassung: Finding injured humans is one of the primary goals of any search and rescue operation. The aim of this paper is to address the task of automatically finding people lying on the ground in images taken from the on-board camera of an unmanned aerial vehicle (UAV). In this paper we evaluate various state-of-the-art visual people detection methods in the context of vision based victim detection from an UAV. The top performing approaches in this comparison are those that rely on flexible part-based representations and discriminatively trained part detectors. We discuss their strengths and weaknesses and demonstrate that by combining multiple models we can increase the reliability of the system. We also demonstrate that the detection performance can be substantially improved by integrating the height and pitch information provided by on-board sensors. Jointly these improvements allow us to significantly boost the detection performance over the current de-facto standard, which provides a substantial step towards making autonomous victim detection for UAVs practical.

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Sprache(n): eng - English
 Datum: 20102010
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 536686
BibTex Citekey: 534
DOI: 10.1109/IROS.2010.5649223
URI: http://dx.doi.org/10.1109/IROS.2010.5649223
Anderer: Local-ID: C12576EE0048963A-87127B83B8CE0385C1257817004BECE4-AndrilukaIROS2010
 Art des Abschluß: -

Veranstaltung

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Titel: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
Veranstaltungsort: Taipei, Taiwan
Start-/Enddatum: 2010-10-18 - 2010-10-22

Entscheidung

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Titel: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  Kurztitel : IROS 2010
Genre der Quelle: Konferenzband
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Piscataway, NJ : IEEE
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1740 - 1747 Identifikator: ISBN: 978-1-4244-6674-0