Recent Advances on Thermal Infrared Target Tracking: A Survey
Di Yuan, Xiu Shu, Qiao Liu · 2022
Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be tracked at night, on rainy days, foggy days, and other extreme weather, so it is widely used in night auxiliary driving, unmanned aerial vehicle reconnaissance, video surveillance, and other scenes. Thermal infrared target tracking task still faces many challenges, such as occlusion, deformation, similarity interference, etc. To solve the challenge in the TIR target tracking scenarios, a large number of TIR target tracking methods have appeared in recent years. The purpose of this paper is to give a comprehensive review and summary of the research status of thermal infrared target tracking methods. We first introduce some basic principles and representative work of the thermal infrared target tracking methods. And then, some benchmarks for performance testing of thermal infrared target tracking methods are introduced. Subsequently, we demonstrate the tracking results of several representative tracking methods on some benchmarks. Finally, the future research direction of thermal infrared target tracking is discussed.