An imaging scheme based on temporal and spatial correlations is proposed for moving object. The motion of object is divided into a series of frames, and the first frame is selected as the target object of spatial correlation. The relative position information of the moving object between any two adjacent frames is encoded into time signal, and the signal becomes the temporal correlation target. With the spatial and temporal correlation imaging techniques, the first frame image information and any inter-frame time signal can be obtained. According to the set rules, the time signal is later converted into the spatial relative position of the moving object between frames, and the moving object is shifted based on the first frame image to obtain the second frame image. On the basis of the second frame image, the third frame image is reconstructed by combining the spatial relative position information of the moving object recovered by temporal correlation. And so on, the moving object imaging is obtained by integrating all frames information finally. The feasibility of the proposed scheme is verified by numerical simulation. Compared with the existed correlation imaging scheme for moving objects, the proposed scheme reduces the data amount and reconstruction time of multi-frame correlation imaging of moving objects, and provides a new research method for exploring the imaging of the moving objects nonlocality.