Image recognition system, image recognition method, and non-transitory computer readable medium storing image recognition program

摘要

An image recognition system includes a partial area determination unit for determining a plurality of learning partial areas in a learning image including an object to be recognized, a partial area set generation unit for generating a learning partial area set including the learning partial area and a plurality of peripheral areas included in a predetermined range with reference to the learning partial area, and a learning unit for selecting an area including an image suitable to be determined as an object to be identified included the object to be recognized from a plurality of areas included in the learning partial area set, to learn a classifier so as to determine a likelihood that the image included in the area is the object to be identified to be higher based on a feature amount related to the selected area.

主权项

1. An image recognition system, comprising:
an image recognition unit that recognizes an object to be recognized included in an input image based on a result of determination by a classifier, the classifier determining a likelihood that an image included in an arbitrary area in the input image including the object to be recognized having an object to be identified is the object to be identified based on a feature amount regarding the area; a partial area determination unit that determines a plurality of learning partial areas in a learning image including the object to be recognized; a partial area set generation unit that generates a learning partial area set based on a learning partial area of the plurality of learning partial areas, the learning partial area set including the learning partial area and a plurality of peripheral areas included in a predetermined range with reference to the learning partial area; and a learning unit that selects, when performing learning of the classifier for the learning partial area, an area including an image suitable to be determined as the object to be identified from a plurality of areas included in the learning partial area set generated by the learning partial area, to learn the classifier so as to determine a likelihood that the image included in the area comprises the object to be identified to be higher based on a feature amount related to the selected area.