Abstract: The communication support device includes a position acquisition unit, an imaging unit, a storage, a category ranking setting unit, a counterpart detector, and a notification unit. The position acquisition unit acquires position information indicating a position of a user. The imaging unit captures an image of a surrounding environment of the user to acquire a captured image. The storage stores the counterpart database. In the counterpart database, an image of a counterpart and a category indicating a property of the counterpart are associated with the counterpart. The category ranking setting unit sets a priority to the category according to the position information acquired by the position acquisition unit. The counterpart detector detects a counterpart belonging to the category in the captured image in order of the priority set by the category ranking setting unit. The notification unit notifies the user of information regarding the counterpart detected by the counterpart detector.

Abstract: An accessibility determination device may include an imaging device that captures images of a surrounding environment of a user at time intervals to acquire a plurality of captured images; a facial organ detector that analyzes the captured images to detect a facial organ of a person that makes a notification to the user when the accessibility determined by processor satisfies a predetermined criterion and the target detector detects that the person is the predetermined target person. The processor may change the accessibility or the predetermined criterion depending on a distance between the imaging device and the person.

Abstract: The recognition system stores a learned model including first and second model parts. The first model part outputs, in response to input of a first resolution image showing a target object at a first resolution, a second resolution image corresponding to an image resulting from conversion of the first resolution image into a second resolution higher than the first resolution and a difference image corresponding to a difference between the first resolution image and the second resolution image. The second model part outputs a feature amount of the target object in response to input of the second resolution image and the difference image. The arithmetic circuit obtains the first resolution image as a target image and provides the obtained target image to the learned model to allow it to calculate a feature amount of a target object shown in the target image.

Abstract: A learning method comprises original image preparation processing of preparing an original image; learning mask image preparation of preparing a mask image in which a mask region covering a specific portion is set from the original image; training data preparation processing of preparing pieces of training data including the mask image as input information and a determination result indicating whether or not the mask image includes a target object region in which a target object is present as ground truth information; and learning processing of executing machine learning on a model using the training data. The learning processing includes causing the model to learn a relationship between non-mask information based on a portion excluding the mask region in the mask image and the determination result and generating a learned model.

Abstract: A movement support device comprises: an imaging device that acquires a captured image; a controller that calculates a safety degree based on the captured image; a storage that stores a necessary safety degree table in which a predetermined action candidate as an action that can be executed by the user and a necessary safety degree indicating a safety degree necessary for the user to safely perform an action indicated by the predetermined action candidate are stored in association with each other; an input unit that receives input of a selection operation by the user to select an action candidate desired by the user from among the predetermined action candidates; and an output unit.

Abstract: A communication support device comprises an imaging unit, a counterpart detector, a distance measuring unit, a expression determination unit, a motion determination unit, and a voice output unit. The imaging unit captures an image of a surrounding environment of a user. The counterpart detector detects a predetermined counterpart in the captured image. The distance measuring unit measures a distance between the counterpart and the imaging unit based on the captured image. The expression determination unit determines a facial expression of the counterpart based on the captured image. The motion determination unit determines a motion of the counterpart based on the captured image. The voice output unit notifies the user of identification information for identifying the counterpart by a voice when the distance measured by the distance measuring unit is an interaction distance of a first threshold or less.

Abstract: The communication support device comprises an imaging unit, a counterpart detector, a priority level setting unit, a priority determination unit, and a notification unit. The imaging unit that captures an image of a surrounding environment of a user to acquire a captured image. The counterpart detector detects a plurality of predetermined counterparts in the captured image. The a priority level setting unit sets priority levels respectively for the plurality of counterparts based on a predetermined relationship between the user and each of the plurality of counterparts. The priority determination unit determines priorities of the plurality of counterparts based on the priority levels. The notification unit selects information regarding the plurality of counterparts based on the priorities and notifies the user of the selected information.

Abstract: The communication support device includes a position acquisition unit, an imaging unit, a storage, a category ranking setting unit, a counterpart detector, and a notification unit. The position acquisition unit acquires position information indicating a position of a user. The imaging unit captures an image of a surrounding environment of the user to acquire a captured image. The storage stores the counterpart database. In the counterpart database, an image of a counterpart and a category indicating a property of the counterpart are associated with the counterpart. The category ranking setting unit sets a priority to the category according to the position information acquired by the position acquisition unit. The counterpart detector detects a counterpart belonging to the category in the captured image in order of the priority set by the category ranking setting unit. The notification unit notifies the user of information regarding the counterpart detected by the counterpart detector.

Abstract: An image processing apparatus includes a first learner trained to detect an orientation of a face in an image including a human face for receiving an input of a target image including a human face and outputting first information associated with an orientation of a face included in the target image, at least one second learner trained, for the first information, to detect a position of a facial component in an image including a human face for receiving an input of the target image and outputting second information associated with a position of a facial component included in the target image, and a control unit that controls the first learner and the second learner. The control unit uses the first learner to obtain the first information from the target image, and uses the second learner corresponding to the first information to obtain the second information from the target image.

Abstract: A communication support device comprises an imaging unit, a counterpart detector, a distance measuring unit, a expression determination unit, a motion determination unit, and a voice output unit. The imaging unit captures an image of a surrounding environment of a user. The counterpart detector detects a predetermined counterpart in the captured image. The distance measuring unit measures a distance between the counterpart and the imaging unit based on the captured image. The expression determination unit determines a facial expression of the counterpart based on the captured image. The motion determination unit determines a motion of the counterpart based on the captured image. The voice output unit notifies the user of identification information for identifying the counterpart by a voice when the distance measured by the distance measuring unit is an interaction distance of a first threshold or less.

Abstract: An image analyzer repeatedly obtains a captured image including a subject to be detected, and detects, in the captured image, a first area likely to include the subject without a cover, detects, in the captured image, a second area likely to include the subject with a cover, and determines whether the subject is covered by the cover based on a detection result of the first area and a detection result of the second area and a determination result for the captured image obtained previously.

Abstract: A concentration degree determination device includes: a monitoring data acquisition unit configured to acquire monitoring data from a sensor that monitors a driver of a vehicle; a concentration degree estimator configured to estimate a driving concentration degree of the driver from the monitoring data; a reference comparator configured to compare the driving concentration degree to a first reference when a driving mode of the vehicle is an automatic driving mode, and to compare the driving concentration degree to a second reference when the driving mode is a manual driving mode; and a signal output unit configured to output an instruction signal instructing performance of support to the driver when the driving mode is the automatic driving mode while the driving concentration degree does not satisfy the first reference, or when the driving mode is the manual driving mode while the driving concentration degree does not satisfy the second reference.

Abstract: An image analyzer repeatedly obtains a captured image including a subject to be detected, and detects, in the captured image, a first area likely to include the subject without a cover, detects, in the captured image, a second area likely to include the subject with a cover, and determines whether the subject is covered by the cover based on a detection result of the first area and a detection result of the second area and a determination result for the captured image obtained previously.

Abstract: An image processing apparatus includes a first learner trained to detect an orientation of a face in an image including a human face for receiving an input of a target image including a human face and outputting first information associated with an orientation of a face included in the target image, at least one second learner trained, for the first information, to detect a position of a facial component in an image including a human face for receiving an input of the target image and outputting second information associated with a position of a facial component included in the target image, and a control unit that controls the first learner and the second learner. The control unit uses the first learner to obtain the first information from the target image, and uses the second learner corresponding to the first information to obtain the second information from the target image.

Abstract: A driver monitoring apparatus according to an aspect of the present invention includes: an image obtaining unit that obtains a captured image from an imaging apparatus arranged so as to capture an image of a driver seated in a driver seat of a vehicle; an observation information obtaining unit that obtains observation information regarding the driver, the observation information including facial behavior information regarding behavior of a face of the driver; and a driver state estimating unit that inputs the captured image and the observation information to a trained learner that has been trained to estimate a degree of concentration of the driver on driving, and obtains, from the learner, driving concentration information regarding the degree of concentration of the driver on driving.

Abstract: A concentration degree determination device includes: an information acquisition unit configured to acquire a driving concentration degree of a driver of a vehicle; a reference setting unit configured to set a first reference or a second reference higher than the first reference for a manual driving mode that is switched from an automatic driving mode based on at least one of a first driving concentration degree and running information during execution of the automatic driving mode; a reference comparator configured to compare a second driving concentration degree during execution of the manual driving mode to the first or second reference; and an information output unit configured to output information according to a comparison result.

Abstract: A concentration degree determination device includes: a monitoring data acquisition unit configured to acquire monitoring data from a sensor that monitors a driver of a vehicle; a concentration degree estimator configured to estimate a first driving concentration degree of the driver from the monitoring data based on at least one index constituting a first index group when a driving mode is automatic, and to estimate a second driving concentration degree of the driver from the monitoring data based on at least one index constituting a second index group when the driving mode is manual; a reference comparator configured to compare the first driving concentration degree or the second driving concentration degree to a reference; and a signal output unit configured to output an instruction signal instructing performance of support to the driver when the first driving concentration degree or the second driving concentration degree does not satisfy the reference.

Abstract: A drive switching determination apparatus for a vehicle that communicates with at least one nearby vehicle within a predetermined area includes an information notification unit that notifies the at least one nearby vehicle of a switch request to enable a manual drive mode in the vehicle, an information obtaining unit that obtains a response from the at least one nearby vehicle to the switch request, a switching determination unit that permits switching from an automatic drive mode to the manual drive mode in the vehicle based on the response from the at least one nearby vehicle, and a signal output unit that outputs a signal indicating the switching permission.

Abstract: A driver state recognition apparatus that recognizes a state of a driver of a vehicle provided with an autonomous driving system includes a state recognition data acquisition unit that acquires state recognition data of an upper body of the driver, a shoulder detection unit that detects shoulders of the driver using the state recognition data acquired by the state recognition data acquisition unit, and a readiness determination unit that determines whether the driver is in a state of being able to immediately hold the steering wheel of the vehicle during autonomous driving, based on detection information from the shoulder detection unit.

Abstract: A driver state recognition apparatus that recognizes a state of a driver of a vehicle having an autonomous driving system includes a state recognition data acquisition unit that acquires state recognition data of a state of a foot of a driver's seat of the vehicle, a leg state inference unit that infers a state of the driver's legs using the state recognition data acquired by the state recognition data acquisition unit, and a readiness determination unit that determines whether the driver is in a state of being able to immediately operate the pedal of the vehicle during autonomous driving, based on inference information from the leg state inference unit.