Abstract: Phase shifting profilometry (PSP) can reach high accuracy for the 3D shape measurement of static object. However, errors will be introduced when moving object was reconstructed. The fundamental reason was PSP required multiple fringe patterns to reconstruct the object and the traditional PSP did not contain movement information. Aiming at the above, a new method for the 3D reconstruction multiple 2D moving objects was proposed. Different objects can have different movement. Firstly, the multiple objects were identified and the areas of interests are defined. Then, the KCF algorithm was used to track the moving object and SIFT algorithm was used to retrieve the feature points of the object before movement and after movement. The rotation matrix and translation vector describing the movement was then obtained. With the help of the reconstruction model with movement information, the least-square algorithm was employed to retrieve the correct phase value. The results show that the proposed method can reduce the errors introduced by the movement and has the potential to be applied in industrial field.