An infrared thermal imaging method for abnormal temperature tracking and localization

The method proposed in this study addresses the issues of existing infrared imaging devices on the market, such as limited detection of target objects, large size, narrow detection range, and lack of mobility. It presents a solution for infrared thermal imaging to locate and track anomalous temperatures on a mobile platform. This method is capable of detecting abnormal facial information within a certain range, determining facial positions. In practical scenarios, the horizontal position of anomaly information cannot be accurately obtained due to possible occlusions, thus necessitating spatial localization, which involves calculating the horizontal position and angular offset of the camera plane. This paper introduces a method for calculating the horizontal position of a binocular depth camera, as well as the transformation relationship between the platform pose, thermal imaging module, and the object's position in the camera, collectively determining the offset angle for tracking purposes. Additionally, a loss function for temperature with respect to distance is fitted, enabling accurate calculation of the actual temperature of anomalies.