Title :
Autonomous perception techniques for urban and industrial fire scenarios
Author :
Capitán, J. ; Mantecon, D. ; Soriano, P. ; Ollero, A.
Author_Institution :
Comput. Vision & Intelligent Control Group, Sevilla
Abstract :
This paper presents autonomous perception techniques for disaster management and particularly for urban and industrial fire scenarios. The perception from static and mobile (on-board UAV) cameras is considered for smoke detection and cooperative tracking The algorithms used to achieve these functionalities will be described. The implementation of these techniques in the AWARE platform and the application in the general AWARE experiments to detect smoke and track firemen of the Seville fire brigades will also be presented.
Keywords :
disasters; emergency services; fires; mobile robots; object detection; robot vision; sensor fusion; target tracking; AWARE platform; autonomous perception; cooperative perception; cooperative tracking; disaster management; firemen tracking; industrial fire; mobile cameras; smoke detection; static cameras; urban fire; Cameras; Computer vision; Fires; Remotely operated vehicles; Robot vision systems; Robustness; Service robots; Smoke detectors; Unmanned aerial vehicles; Wireless sensor networks; Computer vision; Cooperative Perception; fire scenarios; person tracking; smoke detection;
Conference_Titel :
Safety, Security and Rescue Robotics, 2007. SSRR 2007. IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
978-1-4244-1569-4
Electronic_ISBN :
978-1-4244-1569-4
DOI :
10.1109/SSRR.2007.4381262
