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|Title:||Real time earthquake's survivor detection using a miniaturized LWIR camera||Authors:||Agrafiotis, Panagiotis
Athanasiou, George S.
|Keywords:||LWIR Camera;Search and Rescue;Survivor Detection||Category:||Civil Engineering||Field:||Engineering and Technology||Issue Date:||29-Jun-2016||Source:||9th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2016, Corfu, Greece, 29 June 2016 through 1 July 2016||Conference:||ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2016||Abstract:||Copyright 2016 is held by the owner/author(s). In this paper a system suitable to perform precise and fast earthquake's survivor detection using a miniaturized Long Wave Infrared (LWIR) camera is described. Main challenge of this work is the detection environment which may be characterized by smoke, dust, rubble and extremely narrow spaces as well as the extremely low resolution of the continuous moving LWIR camera. To this direction the thermal information received by the LWIR camera is exploited. In addition, research is carried out in order to implement feature descriptors for detecting only parts of partly occluded people (arms, etc.) in order to reduce false positive ratio. The proposed system achieves real time earthquake's survivor detection using a miniaturized LWIR camera. The results have been tested and evaluated in real life conditions using two different LWIR cameras for proving the robustness and the accuracy of the developed system.||Description:||ACM International Conference Proceeding Series, Volume 29-June-2016, 29 June 2016||URI:||https://ktisis.cut.ac.cy/handle/10488/14298||ISBN:||978-145034337-4||DOI:||10.1145/2910674.2935864||Type:||Conference Papers|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
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