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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › peer review

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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.

Originele taal-2	Engels
Titel	Third International Workshop on Robotics for risky interventions and Environmental Surveillance-Maintenance, RISE
Status	Gepubliceerd - 2009

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RISE-DECUBBER_BUTEAanvaard auteursmanuscript, 728 KB

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MB/08: MOBINISS : Aerial Mobility
Colon, E. (Promotor), Baudoin, Y. (Promotor), Doroftei, L. (Onderzoeker), Berrabah, S. A. (Onderzoeker) & Verbiest, K. (Onderzoeker)
1/01/05 → 31/12/14
Project: Onderzoek

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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

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MB/08: MOBINISS : Aerial Mobility

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