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Object tracking is an important problem in the field of computer vision, and different types of technical methods have been gradually developed since it was proposed. Due to the complementarity of visible and infrared light in target tracking, the fusion of the two has more advantages than traditional methods in performance and robustness. In recent years, the development of artificial intelligence has promoted the rapid progress of visible and infrared light fusion target tracking. Facing the development history of visible and infrared light fusion target tracking technology, first of all, the classic methods in the field of visible and infrared light fusion that have appeared in recent years are sorted out, especially the research progress in the past two years is summarized, which are based on Transformer, attention, time series, self-adaptive fusion and multi-modal codec; then the visible and infrared light fusion datasets and target tracking evaluation index are introduced; last, the future development of this field is prospected.