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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Downloads (Pure)

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.

Original language	English
Title of host publication	Third International Workshop on Robotics for risky interventions and Environmental Surveillance-Maintenance, RISE
Publication status	Published - 2009

Access to Document

RISE-DECUBBER_BUTEAccepted author manuscript, 728 KB

Cite this

@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

Access to Document

Other files and links

Fingerprint

MB/08: MOBINISS : Aerial Mobility

Cite this

Human Victim Detection

Abstract

Access to Document

Other files and links

Fingerprint

Projects

MB/08: MOBINISS : Aerial Mobility

Cite this