Abstract: In order to meet the needs of navigation in blind environments lacking satellite navigation signals, a pattern recognition algorithm is proposed for positioning moving targets in a blind environment based on coded sequence pattern signposts and a monocular vision system. A new coded sequence pattern signpost carrying more valuable information was designed and fixed along the blind environment, with the signpost identified by its cental 3D coordinate. A calibrated monocular vision system was mounted on the target object to capture images with coded sequence pattern signposts. To interpret the coded sequence patterns, the SIFT(scale invariance feature transform) algorithm was used for identifying signposts, the Otsu method for image segmentation and boundary tracking, and the fast Hough algorithm for positioning signpost centers, thereby enabling inquiry into the coordinates of each signpost center according to its code pattern data base. Experimental results validated the proposed method and showed that the algorithm was effective, which established a signpost foundation of technology development of precision positioning for moving targets in blind environments.