Image processing apparatus and control method for same

An image processing apparatus comprising one or more memories storing instructions and one or more processors that execute the instructions to:

• obtain image features of a collation target person;
• estimate a plurality of attributes of the collation target person based on an image of the collation target person;
• obtain a plurality of registered image features corresponding to a plurality of persons respectively associated with correct answer values of a plurality of attributes;
• calculate a similarity between the image features and each of the plurality of registered image features;
• determine to which of the plurality of persons the collation target person corresponds, based on the calculated similarity;
• and
• compare a first attribute histogram generated based on the history of the estimated plurality of attributes and a second attribute histogram generated based on the history of the plurality of attributes corresponding to the determined person for each attribute, and detect an attribute exhibiting an accuracy difference equal to or larger than a predetermined threshold value.

An image processing apparatus comprising one or more memories storing instructions and one or more processors that execute the instructions to:

• obtain image features of a collation target person;
• estimate a plurality of attributes of the collation target person based on an image of the collation target person;
• obtain a plurality of registered image features corresponding to a plurality of persons respectively associated with correct answer values of a plurality of attributes;
• calculate a similarity between the image features and each of the plurality of registered image features;
• and
• determine to which of the plurality of persons the collation target person corresponds, based on the calculated similarity;
• generate a first ratio distribution obtained by dividing a value of each bin of a first attribute histogram generated based on a history of a plurality of attributes estimated based on an image captured under a first image capturing environment by a value of each bin of a second attribute histogram generated based on a history of a plurality of attributes corresponding to a person determined based on image features of the image captured under the first image capturing environment;
• generate a second ratio distribution obtained by dividing a value of each bin of a third attribute histogram generated based on the history of the plurality of attributes estimated based on the image captured under the second image capturing environment by a value of each bin of a fourth attribute histogram generated based on the history of the plurality of attributes corresponding to the person determined based on the image features of the image captured under the second image capturing environment;
• and
• compare the first ratio distribution and the second ratio distribution for each attribute and detect an attribute exhibiting an accuracy difference equal to or larger than a predetermined threshold.

A control method of an image processing apparatus, comprising:

• obtaining image features of a collation target person;
• obtaining a plurality of registered image features corresponding to a plurality of persons respectively associated with correct answer values of a plurality of attributes;
• calculating a similarity between the image features and each of the plurality of registered image features;
• determining to which of the plurality of persons the collation target person corresponds, based on the similarity calculated in the calculating;
• deriving attribute-wise determination accuracy included in the plurality of attributes based on a history in which the similarity calculated in the calculating and the result of determination in the determining are associated with each other;
• and
• comparing, for each attribute, a first determination accuracy derived based on first image features based on an image captured under a first image capturing environment and a second determination accuracy derived based on second image features based on an image captured under a second image capturing environment, and detecting an attribute exhibiting an accuracy difference equal to or larger than a predetermined threshold value.

A control method for an image processing apparatus, comprising:

• obtaining image features of a collation target person;
• estimating a plurality of attributes of the collation target person based on an image of the collation target person;
• obtaining a plurality of registered image features corresponding to a plurality of persons respectively associated with correct answer values of a plurality of attributes;
• calculating a similarity between the image features and each of the plurality of registered image features;
• determining to which of the plurality of persons the collation target person corresponds, based on the similarity calculated in the calculating;
• and
• comparing, for each attribute, a first attribute histogram generated based on the history of the plurality of attributes estimated in the estimating and a second attribute histogram generated based on the history of the plurality of attributes corresponding to the person determined in the determining, and detecting an attribute exhibiting an accuracy difference equal to or larger than a predetermined threshold value.

A control method for an image processing apparatus, comprising:

• obtaining image features of a collation target person;
• estimating a plurality of attributes of the collation target person based on an image of the collation target person;
• obtaining a plurality of registered image features corresponding to a plurality of persons respectively associated with correct answer values of a plurality of attributes;
• calculating a similarity between the image features and each of the plurality of registered image features;
• determining to which of the plurality of persons the collation target person corresponds, based on the similarity calculated in the calculating;
• generating a first ratio distribution obtained by dividing a value of each bin of a first attribute histogram generated based on a history of a plurality of attributes estimated based on an image captured under a first image capturing environment by a value of each bin of a second attribute histogram generated based on a history of a plurality of attributes corresponding to a person determined based on image features of the image captured under the first image capturing environment;
• generating a second ratio distribution obtained by dividing a value of each bin of a third attribute histogram generated based on a history of a plurality of attributes estimated based on an image captured under a second image capturing environment by a value of each bin of a fourth attribute histogram generated based on a history of a plurality of attributes corresponding to a person determined based on image features of the image captured under the second image capturing environment;
• and
• comparing the first ratio distribution and the second ratio distribution for each attribute and detecting an attribute exhibiting an accuracy difference equal to or larger than a predetermined threshold value.

A non-transitory computer-readable recording medium storing a program that, when executed by a computer, causes the computer to perform a control method of an image processing apparatus, comprising:

• obtaining image features of a collation target person;
• obtaining a plurality of registered image features corresponding to a plurality of persons respectively associated with correct answer values of a plurality of attributes;
• calculating a similarity between the image features and each of the plurality of registered image features;
• determining to which of the plurality of persons the collation target person corresponds, based on the similarity calculated in the calculating;
• deriving attribute-wise determination accuracy included in the plurality of attributes based on a history in which the similarity calculated in the calculating and the result of determination in the determining are associated with each other;
• and
• comparing, for each attribute, a first determination accuracy derived based on first image features based on an image captured under a first image capturing environment and a second determination accuracy derived based on second image features based on an image captured under a second image capturing environment, and detecting an attribute exhibiting an accuracy difference equal to or larger than a predetermined threshold value.