Learning apparatus, collation apparatus, learning method, and collation method

A collation apparatus comprising:

• at least one memory configured to store instructions;
• and
• at least one processor configured to execute the instructions to:
• infer a tracking object data weight corresponding to each piece of tracking object data included in tracking object information of each of a pair of tracking objects to be collated by using an inference model trained in advance by machine learning, the inference model being trained to output the tracking object data weight corresponding to tracking object data included in the tracking object information regarding input data by using, as the input data, data regarding tracking object information including at least feature amount information indicating a feature of the tracking object that is an object to be tracked and including one or more pieces of tracking object data obtained by tracking the tracking object with a video and by using a ground truth weight, as ground truth data, corresponding to ground truth data of a tracking object data weight regarding a degree of importance indicating how well the tracking object data indicates a feature of the corresponding tracking object in the tracking object information;
• and
• perform collation processing of the pair of tracking objects by calculating a tracking object collation score that is a collation score of the pair of tracking objects by associating similarity between tracking object data included in the tracking object information regarding a first tracking object of the pair of tracking objects and tracking object data included in the tracking object information regarding a second tracking object with the inferred tracking object data weight.

A learning method comprising:

• generating, for each piece of tracking object data of tracking object information including at least feature amount information indicating a feature of a tracking object that is an object to be tracked and including one or more pieces of tracking object data obtained by tracking the tracking object with a video, a ground truth weight corresponding to ground truth data of a tracking object data weight regarding a degree of importance indicating how well the tracking object data represents the feature of the corresponding tracking object in the tracking object information by using ground truth tracking object pair information that is a set of the tracking object information of the same tracking object or a set of the tracking object information of separate tracking objects;
• and
• training, by machine learning, an inference model configured to output a tracking object data weight corresponding to tracking object data included in the tracking object information by using data regarding the tracking object information as input data and using the ground truth weight generated for the tracking object information as ground truth data,
• wherein the tracking object data weight is used in association with similarity between tracking object data included in the tracking object information regarding a first tracking object of a pair of tracking objects and tracking object data included in the tracking object information regarding a second tracking object when calculating a tracking object collation score that is a collation score of the pair of tracking objects in collation processing of the pair of tracking objects.