The detection of infrared dim small targets with low SNR has been a hot topic in recent years.Lots of new methods have been proposed to solve the problem of dim small targets detection and low signal-to-noise ratio in infrared images under complex background.Better real-time performance,higher detection probability and lower virtual scene rate have become the targets pursued by researchers,and real-time,robust and general have become the core requirements of infrared dim small targets detection algorithm.In this paper,the common methods of infrared dim small targets detection and its technical development are summarized.Based on the introduction of some traditional algorithm development,the development and optimization algorithm of several types of typical algorithms for infrared dim small targets detection are mainly introduced,which provides convenience for the subsequent research on infrared dim small targets detection.