Title :
Cooperative perception for fire monitoring
Author :
Merino, Luis ; Martinez, Rafael ; Ollero, Anlbal
Author_Institution :
Vision & Intelligent Control Group, Univ. of Seville
fDate :
June 28 2004-July 1 2004
Abstract :
This paper presents techniques for cooperative fire perception using vision. Algorithms for fire characteristics extraction using a single camera (infrared or visual) are summarized, including techniques for fire segmentation, characterization and measurement. Then, techniques for data association and fusion when several cameras of different modalities are observing the scene are presented. Finally, some strategies for cooperative perception when using autonomous vehicles with perception capabilities are presented
Keywords :
cameras; fires; mobile robots; monitoring; robot vision; sensor fusion; autonomous vehicles; cooperative fire perception; data association; data fusion; fire characteristics extraction; fire characterization; fire measurement; fire monitoring; fire segmentation; infrared camera; robot vision; single camera; visual camera; Cameras; Data mining; Fires; Image segmentation; Intelligent control; Intelligent robots; Layout; Monitoring; Robot vision systems; Tires;
Conference_Titel :
Automation Congress, 2004. Proceedings. World
Conference_Location :
Seville
Print_ISBN :
1-889335-21-5