Infrared Search and Tracking (IRST) system has become one of the main equipment for battlefield perception owing to its advantages such as strong anti-EMI (Electromagnetic Interference) abilitypassive detectionperfect concealmenthigh positioning accuracyand strong ability to detect stealth targets.However limited by its own detection mechanismIRST has such problems as incomplete dimension of detected informationlong search durationlow data update rateand susceptibility to clouds.According to the working principle of IRSTthe characteristics of it in target detection are analyzed.The mainstream target motion model in maneuvering target tracking is introducedand three kinds of traditional Multi-Target Tracking (MTT) technologies are introducedwhich are MTT based on Joint Probabilistic Data Association (JPDA) MTT based on Random Finite Sets (RFS) and MTT based on deep learning.Finallythe prospect of MTT technologies is given.