1. A learning image collection apparatus, comprising: an acquisition unit configured to acquire a plurality of sequential images including a target object; an extraction unit configured to extract, from each of the sequential images, a plurality of candidate areas being candidates for the target object, and a position of each of the candidate areas; a calculation unit configured to calculate one of a first degree of similarity, a second degree of similarity, a third degree of similarity, and a fourth degree of similarity, the first degree of similarity being a degree of similarity between each of the candidate areas and a predetermined area, the second degree of similarity being a degree of similarity between a size of each of the candidate areas and a predetermined size, the third degree of similarity being a degree of similarity between the candidate areas, and the fourth degree of similarity being a change of the position of each of the candidate areas in chronological order between the sequential images; and a selection unit configured to select one of the candidate areas as a target object area including the target object in a case where one of the first degree of similarity, the second degree of similarity, the third degree of similarity, and the fourth degree of similarity is greater than a predetermined threshold value, wherein the target object is a person, the size used for the second degree of similarity is an aspect ratio of each of the candidate areas, and the selection unit is configured to select one of a plurality of target object areas by using the second degree of similarity and the fourth degree of similarity, and to exclude one of the candidate areas from the target object area in a case where the candidate area has the second degree of similarity greater than a predetermined threshold value and the fourth degree of similarity smaller than a predetermined threshold value.