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http://dx.doi.org/10.21289/KSIC.2021.24.6.707

Visible Light and Infrared Thermal Image Registration Method Using Homography Transformation  

Lee, Sang-Hyeop (Dept. of Electronic Eng., Kyungsung University)
Park, Jang-Sik (Dept. of Electronic Eng., Kyungsung University)
Publication Information
Journal of the Korean Society of Industry Convergence / v.24, no.6_2, 2021 , pp. 707-713 More about this Journal
Abstract
Symptoms of foot-and-mouth disease include fever and drooling a lot around the hoof, blisters in the mouth, poor appetite, blisters around the hoof, and blisters around the hoof. Research is underway on smart barns that remotely manage these symptoms through cameras. Visible light cameras can measure the condition of livestock such as blisters, but cannot measure body temperature. On the other hand, infrared thermal imaging cameras can measure body temperature, but it is difficult to measure the condition of livestock. In this paper, we propose an object detection system using deep learning-based livestock detection using visible and infrared thermal imaging composite camera modules for preemptive response
Keywords
Object Detection; Thermal Image; Image Matching; Homography Transform;
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