Abstract: A method of generating pedestrian behavior prediction information includes setting image information from present to a certain time in the past as the target observation image, extract multiple visual input feature information and non-visual input feature information from the target observation image, grouping the multiple visual input feature information and non-visual input feature information, and inputting the grouped information to separated processing modules and generating pedestrian behavior prediction information by concatenating output results of the processing modules.

Abstract: A method of estimating a pedestrian risk situation includes receiving an image captured by a CCTV camera that is installed at a predetermined location, generating a bounding box of a pedestrian within the image, generating a segmentation map by performing semantic segmentation on the image, generating a ground area map by identifying a ground area in the segmentation map, and estimating semantic location information of the pedestrian based on the bounding box and the ground area map.

Abstract: A medical imaging apparatus includes a scanner configured to acquire projection data of an object in a plurality of directions, and a data processor configured to generate a volume of interest based on the projection data, generate a two-dimensional (2D) reprojection image by reprojecting the volume of interest in at least one direction, and extract feature information from the 2D reprojection image.

Abstract: An apparatus for estimating a malignant tumor includes: a segmentor configured to segment a first medical image of an object into a first ROI including a mass and a second medical image of the object into a second ROI including a mass; an interest region determiner configured to acquire a first matched ROI and a second matched ROI, which is matched to the first matched ROI based on location information of the first ROI and the second ROI, respectively; a feature extractor configured to extract a similar feature indicating a degree of similarity between the first matched ROI and the second matched ROI, from the first matched ROI and the second matched ROI; and a classifier configured to generate malignant tumor information indicating whether the mass included in the first matched ROI and the second matched ROI is the malignant tumor, based on the extracted similar feature.

Abstract: A medical imaging apparatus includes a scanner configured to acquire projection data of an object in a plurality of directions, and a data processor configured to generate a volume of interest based on the projection data, generate a two-dimensional (2D) reprojection image by reprojecting the volume of interest in at least one direction, and extract feature information from the 2D reprojection image.

Abstract: An apparatus for estimating a malignant tumor includes: a segmentor configured to segment a first medical image of an object into a first ROI including a mass and a second medical image of the object into a second ROI including a mass; an interest region determiner configured to acquire a first matched ROI and a second matched ROI, which is matched to the first matched ROI based on location information of the first ROI and the second ROI, respectively; a feature extractor configured to extract a similar feature indicating a degree of similarity between the first matched ROI and the second matched ROI, from the first matched ROI and the second matched ROI; and a classifier configured to generate malignant tumor information indicating whether the mass included in the first matched ROI and the second matched ROI is the malignant tumor, based on the extracted similar feature.