Object identification apparatus and object identification method

An object identification method executed by an object identification apparatus having a storage unit storing, for objects in a plurality of sample images, feature quantities of a plurality of predetermined partial areas, and a similarity of feature quantities for each partial area between objects of an identical individual and between objects of different individuals, the object identification method comprising:

• selecting, for each partial area of an object in a registered image, a corresponding sample image from the storage unit based on feature quantities of the partial area;
• setting, for objects in the registered image, a similarity of feature quantities for each partial area between objects of an identical individual and between objects of different individuals based on a similarity related to the selected sample images for each partial area;
• making a discriminator learn based on the set similarity;
• acquiring a similarity for each partial area between an object in an input image and the object in the registered image;
• and
• determining whether the object in the input image is identical to the object in the registered image based on the similarity acquired by the acquisition unit and a result of discrimination by the discriminator.

A non-transitory storage medium storing a program for causing a computer having a storage unit storing, for objects in a plurality of sample images, feature quantities of a plurality of predetermined partial areas, and a similarity of feature quantities for each partial area between objects of an identical individual and between objects of different individuals to execute a method comprising:

• selecting, for each partial area of an object in a registered image, a corresponding sample image from the storage unit based on feature quantities of the partial area;
• setting, for objects in the registered image, a similarity of feature quantities for each partial area between objects of an identical individual and between objects of different individuals based on a similarity related to the selected sample images for each partial area;
• making a discriminator learn based on the set similarity;
• acquiring a similarity for each partial area between an object in an input image and the object in the registered image;
• and
• determining whether the object in the input image is identical to the object in the registered image based on the similarity acquired by the acquisition unit and a result of discrimination by the discriminator.