In recent years, single motion target detection, positioning, and tracking technology has been widely applied in fields such as national defense, military, traffic monitoring vehicle positioning, and drone target tracking. In response to the difficulty of detecting and locating abnormal spatial distribution of multiple targets in complex background environment conditions, in order to meet the demand for real-time and accurate localization of multiple targets, a dual station camera is used to capture multiple target image sequences. Based on target detection and multi-target tracking technology, combined with epipolar geometric matching algorithms, precise localization of multiple targets in complex environments is achieved. According to the overall experimental process, a multi-objective simulation experiment was designed. Through four levels of processing, including image acquisition, target detection, target matching, and analysis of target spatial positioning errors, the cumulative error of each algorithm in the testing system was verified to be within the allowable range of system accuracy, meeting the requirements of the testing system indicators.