Temperature Model and Human Detection in Thermal Image
Pei‐Jun Lee, Trong-An Bui, Che-Chih Lo · 2018
In this paper, we present a statement on the development of heat models for thermal image sensor, which is a new relationship between pixel values and temperature values. From these models and relationships, we optimize the calculation for human and danger detection. This study is that instead of using conventional cameras that are prone to noise due to the effects of light, in our work we use direct thermal camera. In the simulation results, the proposed algorithm on human detection was recorded with performance and results up to 90%.