Abstract: A road surveillance system includes a video acquisition unit, a target determination unit, and a display control unit. The video acquisition unit acquires a video that captures a road. The target determination unit determines, based on a result of comparison between at least one frame image constituting the video and a reference image, and a first criterion, whether the at least one frame image is an analysis target. The display control unit causes a display unit to display information based on a result of the determination. The display control unit includes a first control unit and a second control unit. The first control unit causes the display unit to display an analysis result of at least one frame image being determined to be an analysis target. The second control unit causes the display unit to display detection information indicating that a frame image not being an analysis target is detected.

Abstract: To improve efficiency of road surveillance, a road surveillance system includes a detection unit 122 and a processing unit 134. The detection unit 122 detects a road state being a state of an object on a road by processing an image in which the road is captured. The processing unit 134 performs, when the road state satisfies a first criterion, any of notification processing of making a notification of the road state that satisfies the first criterion according to notification setting related to the notification, and change-related processing related to a change in the notification setting, based on whether a second criterion is satisfied. The second criterion is a criterion related to a determination result of whether the road state satisfies the first criterion.

Abstract: To improve accuracy of a result acquired by analyzing, by using a machine learning model, an image in which a road is captured, an information processing system 100 is an information processing system for collecting a machine learning image, and includes a generation unit 122 and a storage processing unit 123. The generation unit 122 processes an image in which a road is captured, and generates capturing situation information indicating a situation related to capturing of the image. The storage processing unit 123 performs processing for storing an image, based on the capturing situation information.

Abstract: A video decoding device for decoding video using inter prediction includes entropy decoding means for decoding an inter-PU partition type syntax; and decoding control means for making the entropy decoding means decode the inter-PU (Prediction Unit) partition type syntax of a CU (Coding Unit) to be decoded, based on whether the prediction mode of the CU to be decoded is an inter prediction mode and whether a size of the CU to be decoded is equal to a predetermined minimum inter-PU size.

Abstract: A radar signal imaging device 30 includes: a transmission unit 31 which transmits a radar signal toward an object to be imaged that is a non-rigid body; a position estimation unit 32 which estimates the position of the object; an oscillation degree estimation unit 33 which estimates an oscillation degree which is a degree of change within a predetermined period in the relative positions of feature points constituting the object; and a synthetic aperture processing unit 34 which performs synthetic aperture processing on the radar signal reflected by the object on the basis of the estimated position of the object and the estimated oscillation degree.

Abstract: An image processing apparatus (10) includes an image processing unit (110) and a risk information generation unit (120). The image processing unit (110) acquires and processes an image generated by an image capture apparatus (20), that is, an image including a plurality of persons. As an example, the image processing unit (110) sets a person being at least part of the plurality of persons as a reference person and computes a distance (first distance) between the reference person and the closest person to the reference person. By using the first distance, the risk information generation unit (120) generates infection risk information in a target region being an image capture target of the image capture apparatus (20).

Abstract: A required time prediction apparatus (2000) acquires utilization facility information and assumed date and time information. The utilization facility information is information enabling to determine a departure facility and a destination facility. The assumed date and time information is information enabling to determine an assumed departure date and time assuming departure from the departure facility or an assumed arrival date and time assuming arrival at the destination facility. The apparatus (2000) estimates a waiting time at each facility being present between the departure facility and the destination facility, regarding a case of assuming departure from the departure facility at the assumed departure date and time, or a case of assuming arrival at the destination facility at the assumed arrival date and time. Then, the apparatus (2000) computes, based on the estimated waiting time, a predicted required time from departure from the departure facility to arrival at the destination facility.

Abstract: An image processing apparatus includes at least one memory configured to store instructions, and at least one processor configured to execute the instructions to process an image of a target region, and thereby compute a proximity index being an index relating to a proximity state of a plurality of persons captured in the image, and cause a predetermined apparatus to execute predetermined control, when the proximity index satisfies a criterion.

Abstract: An image processing apparatus (10) includes an image processing unit (110) and a risk information generation unit (120). The image processing unit (110) acquires and processes an image generated by an image capture apparatus (20), that is, an image including a plurality of persons. As an example, the image processing unit (110) sets a person being at least part of the plurality of persons as a reference person and computes a distance (first distance) between the reference person and the closest person to the reference person. By using the first distance, the risk information generation unit (120) generates infection risk information in a target region being an image capture target of the image capture apparatus (20).

Abstract: The present invention provides an image processing apparatus (10) that includes: a feature value extraction unit (11) that, by processing an image including a plurality of persons, extracts an external appearance feature value of each of the persons; and a determination unit (12) that, by processing the image, determines another of the persons who satisfies an infection condition between him/her and each of the persons, and registers relevant information relating to the determined another person in association with the external appearance feature value of each of the persons.

Abstract: The present invention provides an image processing apparatus (10) including: a companion determination unit (12) that determines a companion of each of a plurality of persons detected from an image, based on the image; a distance computation unit (13) that computes a first distance being a distance to the nearest person among the persons other than a companion, for the each person; and a risk information generation unit (14) that generates, with use of the first distance, infection risk information being information related to a risk of getting an infectious disease or a safety rate of not getting an infectious disease within a target region being a region included in the image.

Abstract: An image processing apparatus includes an image processing unit and a risk information generation unit. By processing at least one image, the image processing unit identifies a caution-requiring location being a location where a proximity indicator being an indicator related to a proximity state between a plurality of persons satisfies a criterion. The risk information generation unit outputs information indicating the caution-requiring location. For example, the information is displayed on a display unit through a display control unit. For each person, the image processing unit computes a first distance being the distance to the closest person to the person. Then, for each of a plurality of locations, the image processing unit counts the number of times the first distance has a reference value or less. Then, the proximity indicator is set by using the number of times the first distance has the reference value or less.

Abstract: An object is to provide an image processing apparatus capable of appropriately distinguishing various object types. An image processing apparatus (1C) comprising: detector means (11) for detecting objects in an input SAR image and generating object chips; projection calculator means (12) for calculating projection information of each object using SAR geometry; feature learner means (14) for learning, for each object, a relation between an object chip and its projection information, and thereby generating learnt features of object chips; and classifier means (15) for classifying object chips into classes based on the learnt features of object chips.

Abstract: A video encoding device includes encoding control means 11 for controlling an inter-PU partition type of a CU to be encoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of an encoded image block contained in the image block having the predetermined area. A video decoding device includes decoding control means for controlling an inter-PU partition type of a CU to be decoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of a decoded image block contained in the image block having the predetermined area.

Abstract: A video decoding device and method, including extracting PCM block size information including a threshold, from a bitstream, determining the threshold based on the extracted PCM block size information; parsing a PCM header from the bitstream with respect to an encoded block, only when said encoded block is prediction mode of intra prediction and a block size of said encoded block is equal to or greater than the determined threshold, controlling an entropy decoding process and a PCM decoding process based on the parsed PCM header; parsing transformed data of a prediction error data of an image in the bitstream; and PCM-decoding PCM data of the image in the bitstream, wherein the decoding performs the decoding operation based on the prediction mode being intra prediction and based on the block size of the encoded block being equal to or greater than the determined threshold.

Abstract: A video decoding device and method, including extracting PCM block size information including a threshold, from a bitstream, determining the threshold based on the extracted PCM block size information; parsing a PCM header from the bitstream with respect to an encoded block, only when said encoded block is prediction mode of intra prediction and a block size of said encoded block is equal to or greater than the determined threshold, controlling an entropy decoding process and a PCM decoding process based on the parsed PCM header; parsing transformed data of a prediction error data of an image in the bitstream; and PCM-decoding PCM data of the image in the bitstream, wherein the decoding performs the decoding operation based on the prediction mode being intra prediction and based on the block size of the encoded block being equal to or greater than the determined threshold.

Abstract: A video decoding device for decoding video using inter prediction includes entropy decoding means for decoding an inter-PU partition type syntax; and decoding control means for making the entropy decoding means decode the inter-PU (Prediction Unit) partition type syntax of a CU (Coding Unit) to be decoded, based on whether the prediction mode of the CU to be decoded is an inter prediction mode and whether a size of the CU to be decoded is equal to a predetermined minimum inter-PU size.

Abstract: A video encoding device includes encoding control means 11 for controlling an inter-PU partition type of a CU to be encoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of an encoded image block contained in the image block having the predetermined area. A video decoding device includes decoding control means for controlling an inter-PU partition type of a CU to be decoded, based on the maximum number (PA) of motion vectors allowed for an image block having a predetermined area and the number (PB) of motion vectors of a decoded image block contained in the image block having the predetermined area.

Abstract: A signal source identification device includes: a feature value calculation unit configured to calculate feature values corresponding to paths where signals from generation sources of the signals transmit, based on signals received by a plurality of sensors; and an identification unit configured to identify whether or not a feature value calculated by the feature value calculation unit is a signal from a predetermined signal source by using an identification range that is a range within which feature values based on signals from the predetermined signal source fall and that is previously determined based on the feature values calculated by the feature value calculation unit.

Abstract: A required time prediction apparatus (2000) acquires utilization facility information and assumed date and time information. The utilization facility information is information enabling to determine a departure facility and a destination facility. The assumed date and time information is information enabling to determine an assumed departure date and time assuming departure from the departure facility or an assumed arrival date and time assuming arrival at the destination facility. The apparatus (2000) estimates a waiting time at each facility being present between the departure facility and the destination facility, regarding a case of assuming departure from the departure facility at the assumed departure date and time, or a case of assuming arrival at the destination facility at the assumed arrival date and time. Then, the apparatus (2000) computes, based on the estimated waiting time, a predicted required time from departure from the departure facility to arrival at the destination facility.