Abstract: A processing apparatus (10) including: an event extraction unit (11) that extracts, for each image of a time-series image group, an event in which a person and an object relate to each other; an event information generation unit (12) that generates event information indicating a time-series change of a first event defined by a first person, a first object, and a first relationship between a person and an object and also indicating a time-series change of a second event defined by a second person, a second object, and a second relationship between a person and an object; a causal relationship computation unit (13) that computes a score indicating a causal relationship between the first event and the second event; and an output unit (14) that outputs information indicating the first event and the second event for which the score satisfies a predetermined condition.

Abstract: A spoofing detection apparatus 300 includes a face image obtaining unit 301 that obtains a first image frame that includes the face of a subject person obtained with a light-emitting apparatus 320 turned on and a second image frame that includes the face of the subject person obtained with a light-emitting apparatus 320 turned off, a face information extraction unit 302 that extracts first face information, and extracts second face information, a feature value calculation unit 303 that obtains a luminance value of the face portion in the first image frame, obtains a luminance value of the face portion in the second image frame, and calculates, based on these values, a feature value that reflects a three-dimensional shape, and that is independent of colors of a face surface, and a spoofing determination unit 304 that determines authenticity of subject person based on the feature value.

Abstract: Systems and methods for updating a classification model of a neural network. The methods include selecting, as a set of landmarks, a limited number of data from a set of historical data used to train a classification model. Additionally, the methods generate new training data from recently collected data. Further, the methods update the classification model with the new training data and the set of landmarks to obtain an updated classification model having a loss function configured to capture similarities in the new training data and remember similarities in the historical data represented by the set of landmarks within a predefined tolerance.

Abstract: A pattern recognition apparatus includes: a model storage part that stores a model(s) generated by using transfer path information indicating a difference of transfer paths of a signal(s) for training, additional to the signal(s) for training, and a pattern recognition part that inputs an input signal and transfer path information indicating a difference of transfer paths of the input signal, and performs pattern recognition of the input signal by using the model(s).

Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS)—distributed acoustic sensing (DAS) based systems, methods, and structures that advantageously enable and/or facilitate the determination of natural frequency(ies) of civil infrastructures.

Abstract: An image generation device includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: select a second face image from a plurality of face images stored in advance based on directions of faces included in the plurality of face images and a direction of a face included in an input first face image; deform the second face image based on feature points of the face included in the first face image and feature points of a face included in the second face image such that a face region of the second face image matches a face region of the first face image; and generate a third face image in which the face region of the first face image is synthesized with a region other than the face region of the deformed second face image.

Abstract: In order to reliably detect a target object located within a projection area and measure a distance to the detected target object, a distance measurement system includes: a light emitting device including a phase-modulation-type spatial light modulator element, and configured to emit projected light for forming a pattern associated with a phase distribution displayed on a display part of the spatial light modulator element, toward at least two projection areas; a light receiving device for capturing an area including a pattern to be formed by projected light emitted by the light emitting device; and a control device for controlling light emission from the light emitting device, verifying, for each projection area, presence or absence of a target object within the projection area by analyzing imaging data captured by the light receiving device, and measuring a distance to a detected target object.

Abstract: Provided are an array communication device that makes phase correction between a plurality of arrays having bi-directional amplifiers possible and a method for controlling the array communication device. This array communication device comprises a plurality of array units that are connected to a common signal processing unit and each comprise an antenna, amplifier, and phase shifter. The array communication device further comprises first-directional couplers that are respectively disposed between the antennas and amplifiers of the array units and divide or combine signals, second-directional couplers that are respectively disposed between the phase shifters of the array units and the signal processing unit and divide or combine signals, and phase comparison means that each receive at least one from among a signal from a first-directional coupler and a signal from a second-directional coupler and a signal serving as a phase reference and carry out phase comparison and correction.

Abstract: Systems and methods for predicting road conditions and traffic volume is provided. The method includes generating a graph of one or more road regions including a plurality of road intersections and a plurality of road segments, wherein the road intersections are represented as nodes and the road segments are represented as edges. The method can also include embedding the nodes from the graph into a node space, translating the edges of the graph into nodes of a line graph, and embedding the nodes of the line graph into the node space. The method can also include aligning the nodes from the line graph with the nodes from the graph, and optimizing the alignment, outputting a set of node and edge representations that predicts the traffic flow for each of the road segments and road intersections based on the optimized alignment of the nodes.

Abstract: The image analysis apparatus includes: a first analysis unit that analyzes image frames by using a first image analysis model; a second analysis unit that can analyze the image frames by using a second image analysis model an analysis accuracy of which is lower; a storage unit that stores therein analyzed frames, which are already analyzed by using the first and second image analysis models, in association with an evaluation value for evaluating a result of an analysis performed with the second image analysis model; an extraction unit that extracts an analyzed frame that satisfies an extraction condition based on the evaluation value; and an update unit that updates the second image analysis model by using a result of an analysis performed with the first image analysis model on the extracted analyzed frame, and a result of an analysis performed with the first image analysis model on a new frame.

Abstract: A local oscillation light output unit; a phase adjustment unit; a polarization control unit; a multiplexing unit; a photoelectric conversion unit; a demodulation unit; and a control unit. The phase adjustment unit adjusts the phase of local oscillation light. The polarization control unit controls polarization rotation of an optical signal. The multiplexing unit multiplexes the local oscillation light output from the phase adjustment unit with the optical signal output from the polarization control unit. The demodulation unit performs a demodulation process based on an electric signal obtained through conversion performed by the photoelectric conversion unit. The control unit, on the basis of information about the reception status of the optical signal, controls the execution of at least one of the phase adjustment of the local oscillation light in the phase adjustment unit and the polarization rotation of the optical signal in the polarization control unit.

Abstract: Provided is a measurement device including: a reception strength measurement unit configured to measure reception strengths of radio signals which have difference frequencies and which are transmitted from a plurality of transmission devices; and a recording unit configured to sequentially record the reception strengths for the plurality of transmission devices.

Abstract: A method for product tagging is presented including emitting, by at least one RF backscatter transmitter, a dual-tone Radio Frequency (RF) signal embedded within a standardized RF signal on a frequency channel, reflecting and frequency shifting, by a passive RF backscatter tag associated with a product, the dual-tone RF signal to a different frequency channel, and reading, by at least one RF backscatter receiver, the product on the different frequency channel by detecting a distributed ambient backscatter signal generated by a reflection and frequency shifting of the dual-tone RF signal by the passive RF backscatter tag.

Abstract: Systems and methods for is provided for self-checkout at a point-of-sale. The system and method includes a plurality of radio frequency identification (RFID) transceivers, an RFID reader, wherein the RFID reader is configured to receive a response with an RFID code from each of a plurality of RFID tags activated simultaneously by at least one of the plurality of radio frequency identification (RFID) transceivers, and decode the RFID code from the response received from each of the RFID tags, and a classifier configured to determine whether each of the plurality of RFID tags is inside or outside a walk-through checkout area inside a store, wherein the system calculates an amount charged to a customer based on the cost of the items identified as within the walk-through checkout area.

Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously enable and/or facilitate the continuous, real-time monitoring and identification vehicle speed, vehicle direction, vehicle axle width, vehicle type, total number of vehicle axles, and vehicle count. The DFOS sensing fiber is advantageously positioned underneath a roadway/highway in a novel arrangement/layout and temporal measurements are made to provide vehicle identification.

Abstract: The present invention provides a peptide that includes eight or more consecutive amino acid residues of amino acid sequence of one of Sequence ID Nos. 1 to 12 and that consists of eleven or less amino acid residues.

Abstract: An information processing device includes a first authentication controlling unit that causes an authentication device to execute first facial authentication or facial registration of a first photographed image capturing a user at a first store, a presenting unit that presents recommendation information related to a second store to the user in response to a success of the first facial authentication or in response to the facial registration, a second authentication controlling unit that causes the authentication device to execute second facial authentication of a second photographed image capturing the user at the second store, and a calculating unit that calculates a fee that the second store is to pay for having the recommendation information presented to the user, based on a result of the second facial authentication and a history of the first facial authentication or the facial registration.

Abstract: A payment processing system according to an aspect of the present disclosure includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: associate a plurality of customers; specify a product acquired by each of the plurality of customers in a store; and perform at least one of: processing of collective payment by a customer who is a payer among the plurality of customers when it has been determined that all of the plurality of customers have left the store, for products acquired by the plurality of customers, or processing of separate payment by the customer who is the payer when it has been determined that each of the plurality of customers has left the store, for products acquired by the customer.

Abstract: An object is to provide a verification device capable of securely verifying a package with less loads on a developer side.

Abstract: In order to enable a precedent base station to perform appropriate processing on interference by a subsequent base station in a mobile communication system, a base station 201 includes an interference source specifying unit 360 configured to obtain first history information related to a received signal received by the base station 201 from a transmission source before installation of a second radio base station, and second history information related to a received signal received by the base station 201 from the transmission source after installation of the second radio base station and to specify a second radio base station which has caused interference affecting the base station 201, based on a result of comparing the first history information and the second history information.