Research Article
Human Body Heat Detection by using Thermal Image in Crashed Building
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 109 - Issue 8 |
| Published: January 2015 |
| Authors: Sagar Shankarrao Dake, Hemanta Kumar Mohanta, Sushma Yadav |
10.5120/19206-0898
|
Sagar Shankarrao Dake, Hemanta Kumar Mohanta, Sushma Yadav . Human Body Heat Detection by using Thermal Image in Crashed Building. International Journal of Computer Applications. 109, 8 (January 2015), 9-11. DOI=10.5120/19206-0898
@article{ 10.5120/19206-0898,
author = { Sagar Shankarrao Dake,Hemanta Kumar Mohanta,Sushma Yadav },
title = { Human Body Heat Detection by using Thermal Image in Crashed Building },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 109 },
number = { 8 },
pages = { 9-11 },
doi = { 10.5120/19206-0898 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Sagar Shankarrao Dake
%A Hemanta Kumar Mohanta
%A Sushma Yadav
%T Human Body Heat Detection by using Thermal Image in Crashed Building%T
%J International Journal of Computer Applications
%V 109
%N 8
%P 9-11
%R 10.5120/19206-0898
%I Foundation of Computer Science (FCS), NY, USA
Abstract
From the last few years, earthquakes are occur in many countries, up to 85% building are crashed and in that building lot of human are stuck, injured or may be dead. So in that way where these humans are stuck it's not possible to find in that building, in this paper thermal imaging are used to detect the human body heat, then they will easily detected and they will rescue from that building. In crashed building the position prediction are used to determine the human body position and after rescue face identification are used with supervised classification for shape factor.
References
- Y. Yoshitomi, T. Miyaura, S. Tomita, S. Kimura, "Face Identification Using Thermal Image Processing".
- Ren C. Luo, Fellow, IEEE, and Tse Min Chen, "Autonomous Mobile Target Tracking System Based on Grey-Fuzzy Control Algorithm".
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