Title :
An illumination-robust robot infrared vision system for robotics outdoor applications
Author :
Dios, J. R Martinezde ; Ollero, A.
Author_Institution :
ES Ingenieros, Univ. Sevilla
fDate :
June 28 2004-July 1 2004
Abstract :
This paper presents a general infrared vision system to be used in robotic applications in outdoor environments. The system uses a training-based threshold selection method. This method considers the knowledge on the application and information on the illumination conditions to select an appropriate threshold for the segmentation of the object of interest. The paper describes the application of the proposed system to forest fire detection and monitoring by using infrared cameras on board unmanned aerial vehicles
Keywords :
cameras; fires; forestry; helicopters; image segmentation; infrared imaging; lighting; monitoring; remotely operated vehicles; robot vision; forest fire detection; illumination conditions; infrared cameras; monitoring; object segmentation; robotics outdoor applications; robust robot infrared vision system; training based threshold selection method; unmanned aerial vehicles; Application software; Cameras; Computer vision; Fires; Infrared detectors; Infrared imaging; Lighting; Machine vision; Robot vision systems; Robustness;
Conference_Titel :
Automation Congress, 2004. Proceedings. World
Conference_Location :
Seville
Print_ISBN :
1-889335-21-5
