Authors:
Mohammed Ahmed Jaddoa
1
;
Adel Ahmed Al-Jumaily
1
;
Luciano Adrian Gonzalez
2
and
Holly Cuthbertson
2
Affiliations:
1
Faculty of Engineering and IT, University of Sydney Technology (UTS), 15 Broadway, Ultimo NSW and Australia
;
2
Faculty of Agriculture and Environment, University of Sydney, Ultimo NSW and Australia
Keyword(s):
Infrared Thermal, Automatic Hot Spot Extraction, Face Detection in Cattle, Temperature Measurement in Cattle.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Machine Learning in Control Applications
;
Robotics and Automation
;
Surveillance
;
Vision, Recognition and Reconstruction
Abstract:
Infrared Thermography Technology (IRT) is a non-invasive method that has been used to calculate and display temperature as an Infrared thermal image. Infrared thermal images are used frequently to measure temperature remotely, and this temperature can be used as a health indicator for detecting diseases and inflammation in human and animal. In cattle, the rising temperature of the eye and nose region used for identifying stress and Bovine respiratory disease (BRD). In such applications, measuring temperature for nose and eye region is conducted manually. In this paper, a new automatic method is proposed for extracting the hottest regions from the face region, which may include eyes, nose and mouth. The proposed method involves face detection, thresholding, and blob refinement. The preliminary results show that the proposed algorithm is working well for localization and temperature measurement.