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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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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-15DA-A Version Permalink: https://hdl.handle.net/21.11116/0000-000E-2371-B
Genre: Conference Paper

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

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 Abstract: 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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Language(s): eng - English
 Dates: 20102010
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 536686
BibTex Citekey: 534
DOI: 10.1109/IROS.2010.5649223
URI: http://dx.doi.org/10.1109/IROS.2010.5649223
Other: Local-ID: C12576EE0048963A-87127B83B8CE0385C1257817004BECE4-AndrilukaIROS2010
 Degree: -

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Title: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
Place of Event: Taipei, Taiwan
Start-/End Date: 2010-10-18 - 2010-10-22

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Title: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  Abbreviation : IROS 2010
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1740 - 1747 Identifier: ISBN: 978-1-4244-6674-0