A pedestrian target tracking method based on human skeleton structured features comprises the following steps: recording a target motion video, performing equalization preprocessing on a target motionvideo image, extracting skeleton coordinate information of a pedestrian, manually selecting and tracking the target pedestrian, establishing a target initial feature template image, and tracking thetarget pedestrian; if the target pedestrian is normal, continuing tracking, and if the target pedestrian is lost, executing the next step; extracting a target structured feature image according to thevideo image before the target pedestrian is lost and the skeleton coordinate information of the target pedestrian, updating the target feature template image, extracting structured feature images ofall pedestrians, matching the structured feature images with the target feature template image one by one, and repositioning the position of the target pedestrian according to a matching result; realizing target tracking continuously. The method can achieve the stable and continuous tracking of the target pedestrian in a complex multi-person scene, and solves the problem that a current tracking algorithm is easy to lose a tracking target under the conditions of multi-person overlapping, shielding and the like, and is difficult to automatically find the tracking target.