Abstract: A method for operating a partially autonomous motor vehicle, wherein in a non-parked state of the motor vehicle, sensor data of a sensor device, which detects at least one person in the surroundings of the motor vehicle, are analyzed with respect to a behavior of the person disadvantageously impairing the further driving operation of the motor vehicle and at least one action counteracting the behavior of the person is triggered in dependence on the analysis result.

Abstract: An information processing apparatus is configured to output a histogram for inspecting a state of a target object based on presence of a peak in a specific class in the histogram, the histogram representing a distribution of depth values from a measurement apparatus to the target object, the information processing apparatus including an acquisition unit configured to acquire depth information obtained from a result of measurement of a depth value from the measurement apparatus to the target object by the measurement apparatus and an output unit configured to output a histogram based on the acquired depth information so that a frequency of a class including a predetermined depth value to be applied when the depth value is not obtained is reduced.

Abstract: An image generation device and an appearance inspection device which can increase the number of types of training image are provided. An image generation device includes an image acquisition unit configured to acquire a first image; and an image generator configured to generate a training image based on the first image, wherein the first image depicts a first defect included in a first product of a different type the product to be inspected, and the training image is a image to be read by an identifier that identifies whether an inspection image obtained by imaging the product to be inspected depicts a same type of defect as the first defect and to be used by the identifier to perform learning.

Abstract: An image forming apparatus includes a function providing unit, a display, a power storage apparatus, a holding unit, and a display controller. The function providing unit provides multiple functions including an image forming function and one or more server functions. The display displays a first operation screen for operating the multiple functions. The power storage apparatus performs power supply to the image forming apparatus when power supply from an external power supply is absent. The holding unit holds setting information in which a stoppage target function and a running target function among the multiple functions are specified. The stoppage target function and the running target function are respectively stopped and run during the power supply from the power storage apparatus. The display controller performs control during the power supply from the power storage apparatus.

Abstract: A target detection system includes an imager that sequentially captures frames, in different emission bands. These frames are registered with respect to one another based on information from an Inertial Navigation System (INS) and compensation is made for any motion of the imager between frames. Identification of a candidate target object that is detected, or otherwise identified in one band, initiates a search for a correlated object in the other band within a radius, or distance, in a common image-space reference frame. When a pair of objects is identified, a measure of the intensities of the signals in the two bands is compared to an expected range of values to discriminate a target of interest from an object that is not of interest.

Abstract: An information processing device includes a first acquisition member configured to obtain information relating to an aerial photography range for aerial photographing a first aerial photography image, a segmenting member configured to segment the aerial photography range into multiple areas based on a feature of each imaged object existing in the aerial photography range, and a determination member to determine a first imaging mode for aerial photographing the first aerial photography image based on the segmented areas. The information processing device also includes a second acquisition member configured to obtain information of more than one path shape based on information of more than one imaging mode, and information of path shapes representing shapes of more than one aerial photography path, and the first imaging mode. The information processing device further includes a generating member configured to generate the first aerial photography path based on the at least one path shape.

Abstract: Provided is a computer system for estimating an absolute position of a photographed object by just photographing the object with a camera, a position estimation method, and a program. The computer system acquires an image obtained by photographing an object, acquires three-dimensional position data of a camera which photographed the object, and estimates an absolute position of the object on the basis of the three-dimensional position data of the camera. Further, the computer system enables the camera to be tilted a specified angle in a direction of the object, and estimates the absolute position of the object on the basis of the three-dimensional position data of the camera and the tilted specified angle. Moreover, the computer system stores the position of the object and an altitude at the position in association with each other, and estimates an altitude associated with the estimated position of the object.

Abstract: Systems and methods for predicting images with enhanced spatial resolution using a neural network are provided herein. According to an aspect of the invention, a method includes accessing an input image of a biological sample, wherein the input image includes a first spatial resolution and a plurality of spectral images, and wherein each spectral image of the plurality of spectral images includes data from a different wavelength band at a different spectral channel; applying a trained artificial neural network to the input image; generating an output image at a second spatial resolution, wherein the second spatial resolution is higher than the first spatial resolution, and wherein the output image includes a fewer number of spectral channels than the plurality of spectral images included in the input image; and outputting the output image.

Abstract: An endoscope image processing device includes a processor. The processor sequentially receives an observation image obtained by performing image pickup of an object inside a tubular portion of a subject, performs processing for detecting a region of interest with respect to the observation image, performs judgement processing as to whether degradation of visibility of the region of interest included in the observation image is predicted, and performs emphasis processing for emphasizing the position of the region of interest when a judgement result indicating that the degradation of visibility of the region of interest included in the observation image is predicted is acquired by the judgement processing.

Abstract: A device may receive sensor data and video data associated with a vehicle, and may process the sensor data, with a rule-based detector model, to determine whether a probability of a vehicle accident satisfies a first threshold. The device may preprocess acceleration data of the sensor data to generate calibrated acceleration data, and may process the calibrated acceleration data, with an anomaly detector model, to determine whether the calibrated acceleration data includes anomalies. The device may filter the sensor data to generate filtered sensor data, and may process the filtered sensor data and anomaly data, with a decision model, to determine whether the probability of the vehicle accident satisfies a second threshold. The device may process the filtered sensor data, the anomaly data, and the video data, with a machine learning model, to determine whether the vehicle accident has occurred, and may perform one or more actions.

Abstract: A server includes: a memory storing printing configuration rules for interfacing with a printing system; a communications interface configured to communicate with a client device; a processor interconnected with the memory and the communications interface, the processor configured to: generate a print system network identifier mapped to the printing system, the print system network identifier configured for identifying print parameters for print jobs; receive, via the communications interface, a print request from the client device, the print request generated based on the print system network identifier and including one or more print parameters for a print job; and send a print instruction to the printing system to initiate the print job at the printing system according to the one or more print parameters, the print instruction generated according to the printing configuration rules.

Abstract: Systems, methods, and other embodiments described herein relate to generating depth estimates of an environment depicted in a monocular image. In one embodiment, a method includes identifying semantic features in the monocular image according to a semantic model. The method includes injecting the semantic features into a depth model using pixel-adaptive convolutions. The method includes generating a depth map from the monocular image using the depth model that is guided by the semantic features. The pixel-adaptive convolutions are integrated into a decoder of the depth model. The method includes providing the depth map as the depth estimates for the monocular image.

Abstract: The present invention relates to the field of medical monitoring, and in particular non-contact, video-based monitoring of pulse rate, respiration rate, motion, and oxygen saturation. Systems and methods are described for capturing images of a patient, producing intensity signals from the images, filtering those signals to focus on a physiologic component, and measuring a vital sign from the filtered signals.

Abstract: A learning model generating device includes a first image reading device and a first control device. The first control device includes a processor and functions, through the processor executing a first control program, as a first segmenter, a learning model generator, and a first compressor. The first segmenter segments each of images of training prints obtained by reading performed by the first image reading device. The learning model generator learns segmented images to generate a first learning model for use in inferring a type of an image defect. The first compressor compresses each of the images of the training prints. The first segmenter segments each of compressed images obtained by compression performed by the first compressor. The learning model generator learns compressed and segmented images to generate a second learning model for use in inferring a type of an image defect.

Abstract: An information processing apparatus is connected to a first information acquisition apparatus that acquires first information relating to at least one of a position or a pose of a hand of a target person and a second information acquisition apparatus that acquires second information relating to at least one of the position or the pose of the hand of the target person and different from the first information acquired by the first information acquisition apparatus. The information processing apparatus accepts the first information and the second information from the first and second information acquisition apparatuses, respectively, retains the accepted first and second information in an associated relationship with information of timings at which the first and second information acquisition apparatuses acquire the first and second information, respectively, and extracts pieces of the first and second information acquired at a common timing from the retained first and second information as pair information.

Abstract: This document describes techniques and systems for authentication management through IMU and radar. The techniques and systems use inertial sensor data from an inertial measurement unit (IMU) and/or radar data to manage authentication for a computing device. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for computing-device authentication.

Abstract: A method for urban scene reconstruction uses the top view of a scene as priori information to generate a UVA initial flight path, optimizes the initial path in real time, and realizes 3D reconstruction of the urban scene. There are four steps: (1): to analyze the top view of a scene, obtain the scene layout, and generate a UAV initial path; (2): to reconstruct the sparse point cloud of the building and estimate the building height according to the initial path, combine the scene layout to generate a rough scene model, and adjust the initial path height; (3): to use the rough scene model, sparse point cloud and the UAV flight trajectory to obtain the scene coverage confidence map and the details that need close-ups, optimize the flight path in real time; and (4): to obtain high resolution images, reconstruct them to obtain a 3D model of the scene.

Abstract: Methods and apparatus for compressing image data are described along with corresponding methods and apparatus for decompressing the compressed image data. An encoder unit, which generates the compressed image data, comprises an input arranged to receive a first image and a second image, wherein the second image is twice the width and height of the first image, a prediction generator arranged to generate a prediction texture from the first image using an adaptive interpolator, a difference texture generator arranged to generate a difference texture from the prediction texture and the second image and in encoder unit arranged to encode the difference texture.

Abstract: A non-boarded passenger search device which searches for a non-boarded passenger includes an image registration unit that registers image data of faces of a plurality of scheduled passengers photographed before a predetermined passage point; a determination unit that determines whether a scheduled passenger whose face is photographed at the passage point is registered in the image registration unit; when the face is photographed at the passage point is registered, a fight number registration unit that registers a flight number which the scheduled passenger is scheduled to board, in association with image data of the face; and a presentation unit that presents position information of the scheduled passenger, based on the image data of the face of the scheduled passenger, the flight number, image data of the face of the scheduled passenger and position information of the plurality of photographing points.

Abstract: A machine learning system includes a first determination model that determines whether an input image is a second domain image, and a second determination model that determines whether an extracted image obtained by extracting an area where an object is presented from the input image is from the second domain image. Either a pseudo second domain image or the second domain image is selected and input into the first determination model, and either a first extracted image in the pseudo second domain image or a second extracted image in the second domain image is selected and input into an image extracting unit. Learning of the first determination model is performed based on a first determination result, learning of the second determination model is performed based on a second determination result, and learning of a pseudo image generative model is performed based on the first and second determination results.