In order to solve the problem that traditional detection and tracking algorithms can not deal with head-on point targets effectively, an algorithm for head-on point targets detecting and tracking is presented based on infrared image sequences matching. Aiming at the characteristics of head-on point targets in the images sequences, the match result is marked directly in a point-to-point manner, the times of pixel points are counted which have been marked in the match process and an appropriate threshold is selected to show the real point targets. The algorithm merits lie in no need to suppose the doubtful target point in advance, and the tracking process does not change while the background complex degree or the number of point targets change. Especially, this algorithm can solve the problem of point target detection under the high noise environment. According to the simulations and experiments with real images, it has been confirmed that the method is feasible and valid.