Abstract: An emotion estimation device includes controller and emotion estimation model. In the emotion estimation model, four combination states in which two brain wave states obtained by stratifying first index based on ratio of ? wave to ? wave in brain wave by first determination threshold and two heart beat states obtained by stratifying second index based on heart beat low-frequency component by second determination threshold are combined are formed, and emotion type is set to each of four combination states, and controller determines brain wave state by stratifying first index calculated based on brain wave acquired from subject by first determination threshold, determines heart beat state by stratifying second index calculated based on heart rate acquired from subject by second determination threshold, and determines combination state in model corresponding to determined brain wave state and heart beat state, and determines emotion type corresponding to determined combination state as estimated emotion.

Abstract: An information processing device includes a memory and a processor coupled to the memory. The processor acquires a first image at a first time and a second image at a second time later than the first time from a monocular camera mounted on a vehicle, calculates an amount of movement of the vehicle based on a sensor value acquired during a measurement period between the first time and the second time, outputs a result of distance measurement using a first distance measurement method to perform distance measurement using the first image or the second image or a second distance measurement method to perform distance measurement using the first image and the second image, depending on the amount of movement and outputs a result of calculation of a route to guide the vehicle to a parking space, based on the result of distance measurement.

Abstract: In a travel status recording apparatus, a data acquisition unit acquires first travel status data and second travel status data indicating a travel status in relation to a vehicle. An event detection unit detects a predetermined event that occurs in relation to the vehicle based on the first travel status data acquired. In response to the predetermined event being detected, a data analysis unit analyzes the second travel status data using artificial intelligence. A recording control unit records, in a storage unit, an analysis result of the second travel status data in association with event detection information in relation to the predetermined event.

Abstract: In a travel status recording apparatus, a data acquisition unit acquires first travel status data and second travel status data indicating a travel status in relation to a vehicle. An event detection unit detects a predetermined event that occurs in relation to the vehicle based on the first travel status data acquired. In response to the predetermined event being detected, a data analysis unit analyzes the second travel status data using artificial intelligence. A recording control unit records, in a storage unit, an analysis result of the second travel status data in association with event detection information in relation to the predetermined event.

Abstract: An information processing device includes: a memory; and a processor coupled to the memory and configured to: calculate a measurement value indicating a position of a first point of an object at a plurality of time points including a first time point and a second time point before the first time point on the basis of a monocular camera mounted on a moving body; calculate a predicted value of the position of the first point on the basis of the measurement value at the second time point and a movement amount of the moving body from the second time point to the first time point; and determine an adopted value at the position of the first point on the basis of a relationship between a difference between the measurement value and the predicted value at the first time point and a threshold.

Abstract: An information processing device includes: a memory; and a processor coupled to the memory and configured to: acquire a first image at a first time and a second image at a second time later than the first time from a monocular camera mounted on a vehicle; calculate an amount of movement of the vehicle, based on a sensor value acquired during a measurement period between the first time and the second time; output a result of distance measurement using a first distance measurement method to perform distance measurement using the first image or the second image, or a second distance measurement method to perform distance measurement using the first image and the second image, depending on the amount of movement; and output a result of calculation of a route to guide the vehicle to a parking space, based on the result of distance measurement.

Abstract: A distance measurement device includes a memory, and a processor coupled to the memory and configured to detect a plurality of edge lines from image data received from a camera mounted on a moving object, identify a plurality of first edge lines that are among the detected plurality of edge lines and have a characteristic of a predetermined target object, search coordinates of a second edge line located at the lowest position from among the identified plurality of first edge lines, and measure a distance from the moving object to the predetermined target object based on the searched coordinates of the second edge line and a parameter of the camera.

Abstract: A mobile assistance system includes: a mobile assistance terminal to be mounted on a mobile body and configured to acquire mobile body peripheral information as information on a periphery of the mobile body; and a mobile assistance apparatus configured to update map information, based on the mobile body peripheral information transmitted from the mobile assistance terminal.

Abstract: An image processing apparatus performs of: acquiring an image; calculating a feature amount of each pixel of an object in the image; extracting a change region including a background and the object based on difference information in pixels; identifying the image from a start to an end of the partial change in the background; determining whether the calculated feature amount is similar to the feature amount of background model information regarding a feature amount of each pixel constituting the background; when determining dissimilarity and when the pixel determined to be dissimilar is the pixel included in the change region of the image, determining that the pixel is the pixel that corresponds to the background having a change; registering the information of the feature amount of the pixel determined to be dissimilar onto the background model information; and extracting the object from the image using a background difference.

Abstract: A bed area extraction method includes specifying, by a computer, a first part of a bed candidate area in an image based on a first line segment extracted from the image; setting a search range for searching a second line segment with reference to the bed candidate area which is determined based on the specified first part of the bed candidate area; and correcting the bed candidate area based on a disposition of the second line segment included in the set search range.

Abstract: A non-transitory computer readable recording medium having therein a program for causing a computer to execute a process for patient movement detection, the process includes: acquiring an image; searching a candidate for a head image of a subject person in a target region defined in the image; and when, among a first region and a second region in the target region, no candidate for the head image is detected in the second region and one or more candidates for the head image are detected in the first region, detecting, as the head image of the subject person, the candidate for the head image detected farthermost from the second region.

Abstract: A distance measurement device includes a memory, and a processor coupled to the memory and configured to detect a plurality of edge lines from image data received from a camera mounted on a moving object, identify a plurality of first edge lines that are among the detected plurality of edge lines and have a characteristic of a predetermined target object, search coordinates of a second edge line located at the lowest position from among the identified plurality of first edge lines, and measure a distance from the moving object to the predetermined target object based on the searched coordinates of the second edge line and a parameter of the camera.

Abstract: A device includes a memory, and a processor configured to identify a first area including a target object, from a first image captured by a camera at a first time, extract, from the first area, a predetermined number or more of first feature points, identify a second area including the target object, from a second image captured by the camera at a second time, extract, from the second area, second feature points corresponding to the first feature points, correct the second area of the target object, based on first flow amounts from the first feature points to the second feature points and second flow amounts of the first feature points, the second flow amounts being predicted between the first time and the second time, and calculate, based on the corrected second area, a distance from the camera to the target object and a width of the target object.

Abstract: A computer determines a type of change in a state of a bed on the basis of a correspondence relationship between a boundary that indicates a first bed area in a first image and a line segment represented by an edge detected from a second image. The second image is an image that is captured after the first image is captured, and the change in the state of the bed is a state change that occurs during a time period from the capturing of the first image to the capturing of the second image.

Abstract: A situation identification method includes acquiring a plurality of images; identifying, for each of the plurality of images, a first area including a bed area where a place to sleep appears in an image, and a second area where an area in a predetermined range around the place to sleep appears in the image; detecting a state of a subject to be monitored for each of the plurality of images based on a result of detection of a head area indicating an area of a head of the subject in the first area and a result of detection of a living object in the second area; when the state of the subject changes from a first state to a second state, identifying a situation of the subject based on a combination of the first state and the second state; and outputting information that indicates the identified situation.

Abstract: A method of extracting a bed area of a bed performed by a computer, includes detecting linear edges which remain stationary among plural images; and selecting a bed area candidate based on lengths of the linear edges and angles between the linear edges which cross to each other in a U shape formed as combinations of the detected linear edges.

Abstract: A bed area extraction method includes specifying, by a computer, a first part of a bed candidate area in an image based on a first line segment extracted from the image; setting a search range for searching a second line segment with reference to the bed candidate area which is determined based on the specified first part of the bed candidate area; and correcting the bed candidate area based on a disposition of the second line segment included in the set search range.

Abstract: A computer determines a type of change in a state of a bed on the basis of a correspondence relationship between a boundary that indicates a first bed area in a first image and a line segment represented by an edge detected from a second image. The second image is an image that is captured after the first image is captured, and the change in the state of the bed is a state change that occurs during a time period from the capturing of the first image to the capturing of the second image.

Abstract: A non-transitory computer readable recording medium having therein a program for causing a computer to execute a process for patient movement detection, the process includes: acquiring an image; searching a candidate for a head image of a subject person in a target region defined in the image; and when, among a first region and a second region in the target region, no candidate for the head image is detected in the second region and one or more candidates for the head image are detected in the first region, detecting, as the head image of the subject person, the candidate for the head image detected farthermost from the second region.

Abstract: A notification control method executed by a computer, the notification control method includes: acquiring image data of a displayable image captured by an imaging device, and controlling a notification concerning detection of an object based on output of a sensor, depending on a determination of visibility for the displayable image based on the image data.