Due to the limitation of objective conditions, imaging devices can only image at a lower resolution, and cannot distinguish the motion direction. We propose a
fast object direction recognition method based on the SIFT. Firstly, according to the block matching algorithm, we use the corner feature extraction method to determine the position of the block, which is named as a detection block. The next frame image is traversed with the determined block, the matching block is found and named as the target block, and the motion direction between the check block and the target block is determined. Finally, the SIFT algorithm is used to match the feature points of two pictures. Each picture selects three corresponding feature points to construct a triangle, and the transformation relationship of two corresponding triangles constructs a mathematical model to identify the motion direction. Experimental results show that the motion direction recognition speed of our proposal is increased by 3.3 times compared with the block matching, and the matching accuracy is increased by 2.9 times, achieving higher judgment speed and accuracy. By comparison, the SIFT search algorithm has stronger feasibility and can determine the moving direction of objects faster in multi-frame images.