Abstract: An appearance of a desired change can be detected in a more preferred manner even under circumstances where various kinds of changes can appear in a target image. An information processing apparatus includes: a generator configured to generate a normalized image by performing a normalization process using a learned model constructed in advance based on a machine learning with a plurality of normal images as input, on an input image; a determiner configured to determine whether the normalized image and a prescribed reference image approximately match or not; and an outputter configured to output notification information according to a result of the determination to a prescribed output destination.

Abstract: The pedestrian tracking device comprises: an image receiving unit for receiving, in time series, images continuously in time by an image capturing device; a pedestrian region selecting unit for sampling candidate pedestrian regions from an image received by the image receiving unit and for selecting a certain pedestrian region; a tracking unit provided in time series with the pedestrian region selected by the pedestrian region selecting unit for predicting motion of the pedestrian region and associating it with time direction by use of a skeleton model obtained by modeling a pedestrian, a distance-transformed image obtained from the pedestrian region and a Monte Carlo filter so as to track the pedestrian region; and a pedestrian trajectory display for displaying, in time series, the pedestrian region tracked by the tracking unit.

Abstract: A pedestrian tracking method and a pedestrian tracking device with a simple structure can estimate the motion of a pedestrian in images without using color information, making it possible to achieve a robust pedestrian tracking.