An object tracking method includes inputting, into a neural network, two or more chronologically consecutive images, and matching similarity by comparing features extracted by the neural network, namely features of each of the two or more input images, and thereby outputting, as an identification result, identification information and position information about one or more objects depicted in a chronologically later image than a chronologically earlier image, which match one or more objects which are tracking candidates depicted in the chronologically earlier image. The neural network includes two or more identical structures having zero or more fully-connected layers and one or more convolution layers, and shares parameters among corresponding layers across the identical structures.