Object detection method, information processing device, and storage medium

Abstract

An object detection method includes extracting an object candidate by grouping a plurality of characteristic points from two images acquired at different times by a camera; calculating, for each of characteristic points included in the object candidate, an observation flow amount indicating an amount of positional shift on the two images and a virtual road surface flow amount indicating an amount of positional shift on the two images while assuming that the characteristic point is located on a road surface; generating, for each of the characteristic points, a flow difference distribution of the object candidate by calculating a difference between the observation flow amount and the virtual road surface flow amount; and determining whether the object candidate is an object existing on and protruding from the road surface by comparing the flow difference distribution with a plurality of flow difference distribution models generated for predicted inclined states of the surface.