Patent ID: 11836960

Abstract:
An object detection device (1) includes an object detection unit (2) that detects an object from an image including the object by neural computation using a CNN. The object detection unit (2) includes: a feature amount extraction unit (2a) that extracts a feature amount of the object from the image; an information acquisition unit (2b) that obtains a plurality of object rectangles indicating candidates for the position of the object on the basis of the feature amount and obtains information and a certainty factor of a category of the object for each of the object rectangles; and an object tag calculation unit (2c) that calculates, for each of the object rectangles, an object tag indicating which object in the image the object rectangle is linked to, on the basis of the feature amount. The object detection device (2) further includes an excess rectangle suppression unit (4) that separates a plurality of object rectangles for which a category of the object is the same into a plurality of groups according to the object tags, and deletes an excess object rectangle in each of the separated groups on the basis of the certainty factor.