Human Victim Detection

Geert De Cubber; Gabor Marton

Human Victim Detection

Geert De Cubber
, Gabor Marton

Robotics & Autonomous Systems

Budapest University of Technology and Economics

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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Abstract

This paper presents an approach to achieve robust victim detection from color video images. The applied approach goes out from the Viola-Jones algorithm for Haar-features based template recognition. This algorithm was adapted to recognize persons lying on the ground in difficult outdoor illumination conditions.

Originalsprache	Englisch
Titel	Third International Workshop on Robotics for risky interventions and Environmental Surveillance-Maintenance, RISE
Publikationsstatus	Veröffentlicht - 2009

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RISE-DECUBBER_BUTEAkzeptiertes Autorenmanuskript, 728 KB

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MB/08: MOBINISS : Aerial Mobility
Colon, E. (Leitende(r) Forscher/-in), Baudoin, Y. (Leitende(r) Forscher/-in), Doroftei, L. (Forschende), Berrabah, S. A. (Forschende) & Verbiest, K. (Forschende)
1/01/05 → 31/12/14
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@inproceedings{23ec5424ab0446e78c13dbf0f946ee66,

title = "Human Victim Detection",

abstract = "This paper presents an approach to achieve robust victim detection from color video images. The applied approach goes out from the Viola-Jones algorithm for Haar-features based template recognition. This algorithm was adapted to recognize persons lying on the ground in difficult outdoor illumination conditions.",

author = "\{De Cubber\}, Geert and Gabor Marton",

year = "2009",

language = "English",

booktitle = "Third International Workshop on Robotics for risky interventions and Environmental Surveillance-Maintenance, RISE",

}

TY - GEN

T1 - Human Victim Detection

AU - De Cubber, Geert

AU - Marton, Gabor

PY - 2009

Y1 - 2009

N2 - This paper presents an approach to achieve robust victim detection from color video images. The applied approach goes out from the Viola-Jones algorithm for Haar-features based template recognition. This algorithm was adapted to recognize persons lying on the ground in difficult outdoor illumination conditions.

AB - This paper presents an approach to achieve robust victim detection from color video images. The applied approach goes out from the Viola-Jones algorithm for Haar-features based template recognition. This algorithm was adapted to recognize persons lying on the ground in difficult outdoor illumination conditions.

UR - http://mecatron.rma.ac.be/pub/2009/RISE-DECUBBER_BUTE.pdf

UR - https://www.mendeley.com/catalogue/a734cd9d-5ebc-3656-9386-631fa0f1f48c/

M3 - Conference contribution

BT - Third International Workshop on Robotics for risky interventions and Environmental Surveillance-Maintenance, RISE

ER -

Human Victim Detection

Abstract

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