In view of the lack of tracking stability of infrared UAV, particle filter, correlation filter, neural network and other methods are sorted out. In particular, the basic principles and advantages and disadvantages of each method are analyzed. Then, the experimental comparison and analysis of related methods are given. Further, the development trend and research focus of the application of deep learning in this field are discussed. This study has certain reference value for the task of smart city governance.