Because traditional target tracking algorithm don′t take full advantages of spatio-temporal relationships between the target and its local background, small target and edges can not be distinguished effectively, thereby the excursion problem occurs. Based on the Spatio-Temporal Context (STC) learning tracking algorithm, excursion problem was analyzed, and a new IR dim target tracking based on Guided Image Filter and STC is proposed. Guided Filter is adopted to preserve edges and eliminate the noise of context areas, and ideal context prior can be calculated after subtracting the filtering result from original image. Then, an ideal confidence map makes an accurate estimation of target. Several group of experimental results demonstrate that the presented method can track the target effectively, compared with several classical methods, such as improved template matching tracking, temporal-spatial fusion filtering algorithm and moving pipeline filtering algorithm. The experimental results show that the proposed algorithm performs well in terms of efficiency and accuracy.