Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/14291
Title: Human object detection using very low resolution thermal cameras for urban search and rescue
Authors: Doulamis, Nikolaos D. 
Agrafiotis, Panagiotis 
Athanasiou, George S. 
Amditis, Angelos 
Keywords: LWIR Camera;Search and Rescue;Survivor Detection
Category: Civil Engineering
Field: Engineering and Technology
Issue Date: 21-Jun-2017
Source: 10th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2017, Island of Rhodes, Greece, 21 June 2017 through 23 June 2017
Conference: ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2017 
Abstract: © 2017 ACM. In this paper, we propose an innovative assistive system for victims' localization under an Urban Search and Rescue environment. The localization exploits miniaturized Long Wave Infrared (LWIR) cameras and algorithms properly combined with template matching schemes from visual cues. The approach first thresholds the data to roughly estimate alive victims' location and then apply a segmentation scheme to improve the probability analysis. The key challenge of our approach is the fact the thermal image used captures images at very low resolution. This selection is necessary so that the sensor is light and thus able to be carried out by a snake robot. Experiments are presented to demonstrate the efficiency of our results both at the laboratory and under real-life conditions. The latter have been conducted under the aegis of FP7- INACHUS European Union funded project.
Description: ACM International Conference Proceeding Series, Volume Part F128530, 21 June 2017, Pages 311-318
URI: https://ktisis.cut.ac.cy/handle/10488/14291
ISBN: 978-145035227-7
DOI: 10.1145/3056540.3076201
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

Show full item record

SCOPUSTM   
Citations

4
checked on Aug 12, 2019

Page view(s)

9
Last Week
0
Last month
checked on Aug 18, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.