Hot Shoes in the Room: Authentication of Thermal Imaging for Quantitative Forensic Analysis

Chua, J, Dyer, A and Garcia Mendoza, J 2018, 'Hot Shoes in the Room: Authentication of Thermal Imaging for Quantitative Forensic Analysis', Journal of Imaging, vol. 4, pp. 1-11.


Document type: Journal Article
Collection: Journal Articles

Title Hot Shoes in the Room: Authentication of Thermal Imaging for Quantitative Forensic Analysis
Author(s) Chua, J
Dyer, A
Garcia Mendoza, J
Year 2018
Journal name Journal of Imaging
Volume number 4
Start page 1
End page 11
Total pages 11
Publisher MDPIAG
Abstract Thermal imaging has been a mainstay of military applications and diagnostic engineering. However, there is currently no formalised procedure for the use of thermal imaging capable of standing up to judicial scrutiny. Using a scientifically sound characterisation method, we describe the cooling function of three common shoe types at an ambient room temperature of 22 °C (295 K) based on the digital output of a consumer-grade FLIR i50 thermal imager. Our method allows the reliable estimation of cooling time from pixel intensity values within a time interval of 3 to 25 min after shoes have been removed. We found a significant linear relationship between pixel intensity level and temperature. The calibration method allows the replicable determination of independent thermal cooling profiles for objects without the need for emissivity values associated with non-ideal black-body thermal radiation or system noise functions. The method has potential applications for law enforcement and forensic research, such as cross-validating statements about time spent by a person in a room. The use of thermal images can thus provide forensic scientists, law enforcement officials, and legislative bodies with an efficient and cost-effective tool for obtaining and interpreting time-based evidence.
Subject Photonics, Optoelectronics and Optical Communications
Forensic Biology
Image Processing
Keyword(s) infrared
radiation
image processing
cooling function
pixel mapping
time-course
linearisation
sensor
camera characterisation
DOI - identifier 10.3390/jimaging4010021
Copyright notice © 2018 by the authors. Licensee MDPI, Basel, Switzerland. Creative Commons Attribution (CC BY) license
ISSN 2313-433X
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Altmetric details:
Access Statistics: 11 Abstract Views  -  Detailed Statistics
Created: Tue, 23 Oct 2018, 16:00:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us