Feature point integration positioning system, feature point integration positioning method and non-transitory computer-readable memory

A non-transitory computer-readable memory, storing a computer program which is executed by a processor for:

• obtaining a sequential image dataset from an image input source shooting an environment, wherein the sequential image dataset comprises a first to a last images, and the first to the last images respectively correspond to a first to a last time points;
• and
• generating a plurality of first feature points in the first image by a machine vision detecting method, generating a plurality of second feature points in the first image by a deep learning detecting method, integrating the first feature points and the second feature points in the first image into a plurality of integrated feature points in the first image, and receiving the integrated feature points in the first image to confirm a position of a moving object relative to the environment at the first time point, wherein each of the first feature points and the second feature points represents a point in the first image, and at least one of the second feature points is different from any one of the first feature points, wherein the first feature points and the second feature points are the points in the first image where gray values vary in high light contrast.