Thermal InfraRed (TIR) target trackers are easy to be interfered by similar objects, while susceptible the influence of occlusion. To solve these problems, we propose a structural target-aware model (STAMT) for thermal infrared tracking tasks. Specifically, proposed STAMT tracker can learn model, which add more attention area accurately identify from objects. In addition, considering situation ...