# US 2023/0057701 A1 · Processing apparatus, estimation apparatus, and processing method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2023/0057701 A1 - Document ID: US20230057701A1 - Status: Published application - Kind: A1 - Application number: 17/797,488 - Filed: 2020-02-19 - Published: 2023-02-23 - Earliest claimed: 2020-02-19 - Assignees: NEC Corporation - Applicants: NEC Corporation - Inventors: Kazumine OGURA; Masayuki ARIYOSHI - Web page: https://patentgrep.com/patent/US20230057701A1 ## CPC - G01V 3/12: operating with electromagnetic waves {(operating with millimetre waves G01V8/005)} - G06V 20/52: Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) - G06F 18/214: Generating training patterns; Bootstrap methods, e.g. bagging or boosting - G06F 18/40: Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor - G06N 20/00: Machine learning - G06V 10/143: Sensing or illuminating at different wavelengths - G06V 10/774: Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting - G01V: GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS (means for indicating the location of accidentally buried, e.g. snow-buried, persons A63B29/02) - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract The present invention provides a processing apparatus (10) including an electromagnetic wave transmission/reception unit (11) that irradiates an electromagnetic wave from a transmission antenna, and receives a reflection wave by a reception antenna; a label determination image generation unit (12) that generates a label determination image, based on a signal of the received reflection wave; a learning image generation unit (13) that generates a learning image, based on a signal being a part of a signal of the receive reflection wave, and less than a signal to be used in generation of the label determination image; a label determination unit (14) that determines a label, based on the label determination image; and a training data generation unit (15) that generates training data in which the learning image and the label are associated, and causing a training data storage unit (16) to store the generated training data. ## Claims ### Claim 1 A processing apparatus comprising: at least one memory configured to store one or more instructions; and at least one processor configured to execute the one or more instructions to: irradiate an electromagnetic wave from a transmission antenna, and receive a reflection wave by a reception antenna; generate a label determination image, based on a signal of the received reflection wave; generate a learning image, based on a signal being a part of a signal of the received reflection wave, and less than a signal to be used in generation of the label determination image; determine a label, based on the label determination image; and generate training data in which the learning image and the label are associated, and cause a storage apparatus to store the generated training data. ### Claim 2 (depends on 1) The processing apparatus according to claim 1, wherein the processor is further configured to execute the one or more instructions to generate an estimation model by machine learning based on the training data stored by the storage apparatus. ### Claim 3 (depends on 1) The processing apparatus according to claim 1, wherein the processor is further configured to execute the one or more instructions to: output the label determination image, and accept user input of the label of the output label determination image. ### Claim 4 (depends on 1) The processing apparatus according to claim 1, wherein the processor is further configured to execute the one or more instructions to select a signal at random to be used in generation of the learning image from a signal of the received reflection wave. ### Claim 5 (depends on 1) The processing apparatus according to claim 1, wherein the processor is further configured to execute the one or more instructions to: irradiate an electromagnetic wave from a plurality of the transmission antennas, and receive a reflection wave by a plurality of the reception antennas, and select, as a signal to be used in generation of the learning image, a signal acquired by removing, from a signal of the received reflection wave, at least either one of a signal of the reflection wave based on the electromagnetic wave irradiated from a selected one of the transmission antennas, and a signal of the reflection wave received by a selected one of the reception antennas. ### Claim 6 (depends on 1) The processing apparatus according to claim 1, wherein the processor is further configured to execute the one or more instructions to: irradiate the electromagnetic wave from the transmission antenna, while changing a frequency, and select, as a signal to be used in generation of the learning image, a signal acquired by removing, from a signal of the received reflection wave, a signal of a selected frequency. ### Claim 7 An estimation apparatus comprising: at least one memory configured to store one or more instructions; and at least one processor configured to execute the one or more instructions to: store an estimation model generated by a processing apparatus which: irradiates an electromagnetic wave from a transmission antenna, and receives a reflection wave by a reception antenna, generates a label determination image, based on a signal of the received reflection wave, generates a learning image, based on a signal being a part of a signal of the received reflection wave, and less than a signal to be used in generation of the label determination image, determines a label, based on the label determination image, generates training data in which the learning image and the label are associated, and causes a storage apparatus to store the generated training data, and generates the estimation model by machine learning based on the training data stored by the storage apparatus; irradiate an electromagnetic wave from an estimation transmission antenna, and receive a reflection wave by an estimation reception antenna; generate an estimation image, based on a signal of the received reflection wave; and estimate an object included in the estimation image, based on the estimation image and the estimation model. ### Claim 8 (depends on 7) The estimation apparatus according to claim 7, wherein the processor is further configured to execute the one or more instructions to: irradiate an electromagnetic wave from a plurality of the transmission antennas, and receive a reflection wave by a plurality of the reception antennas, irradiate an electromagnetic wave from a plurality of the estimation transmission antennas, and receive a reflection wave by a plurality of the estimation reception antennas, and make an irradiation order and an irradiation time of a plurality of the estimation transmission antennas, and an irradiation order and an irradiation time of a plurality of the transmission antennas a same as each other. ### Claim 9 (depends on 8) The estimation apparatus according to claim 8, wherein the processor is further configured to execute the one or more instructions to generate the estimation image, based on a part of a signal in a received signal of the reflection wave. ### Claim 10 (depends on 9) The estimation apparatus according to claim 9, wherein the processor is further configured to execute the one or more instructions to select a signal at random to be used in generation of the estimation image from a received signal of the reflection wave. ### Claim 11 (depends on 9) The estimation apparatus according to claim 9, wherein the processor is further configured to execute the one or more instructions to select, as a signal to be used in generation of the estimation image, a signal acquired by removing, from a received signal of the reflection wave, at least either one of a signal of the reflection wave based on the electromagnetic wave irradiated from a selected one of the estimation transmission antennas, and a signal of the reflection wave received by a selected one of the estimation reception antennas. ### Claim 12 (depends on 9) The estimation apparatus according to claim 9, wherein the processor is further configured to execute the one or more instructions to: irradiate the electromagnetic wave from the estimation transmission antenna, while changing a frequency, and select, as a signal to be used in generation of the estimation image, a signal acquired by removing, from a received signal of the reflection wave, a signal of a selected frequency. ### Claim 13 (depends on 7) The estimation apparatus according to claim 7, wherein the processor is further configured to execute the one or more instructions to: irradiate an electromagnetic wave from a plurality of the transmission antennas, and receive a reflection wave by a plurality of the reception antennas, irradiate an electromagnetic wave from a plurality of the estimation transmission antennas, and receive a reflection wave by a plurality of the estimation reception antennas, a number of the estimation transmission antennas for irradiating an electromagnetic wave is less than a number of the transmission antennas for irradiating an electromagnetic wave, and a number of the estimation reception antennas for receiving a reflection wave is less than a number of the reception antennas for receiving a reflection wave. ### Claim 14 (depends on 13) The estimation apparatus according to claim 13, wherein a distance between the estimation transmission antennas located at both ends of a plurality of the estimation transmission antennas in a left-right direction, and a distance between the transmission antennas located at both ends of a plurality of the transmission antennas in a left-right direction are a same. ### Claim 15 (depends on 13) The estimation apparatus according to claim 13, wherein a distance between the estimation reception antennas located at both ends of a plurality of the estimation reception antennas in a left-right direction, and a distance between the reception antennas located at both ends of a plurality of the reception antennas in a left-right direction are a same. ### Claim 16 A processing method comprising: by a computer, irradiating an electromagnetic wave from a transmission antenna, and receiving a reflection wave by a reception antenna; generating a label determination image, based on a signal of the received reflection wave; generating a learning image, based on a signal being a part of a signal of the received reflection wave, and less than a signal to be used in generation of the label determination image; determining a label, based on the label determination image; and generating training data in which the learning image and the label are associated, and causing training data storage means to store the generated training data. ### Claim 17 (canceled)