RGB-Thermal object tracking has developed due to its strongly complementary benefits of thermal information to visible data.In this paper,we introduce the research background of RGB-T object tracking and the challenges in this task;then summarize and introduce the existing methods of RGB-T object tracking,including traditional methods and deep learning methods.Finally,we analyze and compare the existing RGB-T datasets and evaluation criteria,and point out the aspects worthy of study in RGB-T object tracking.