Title:
RECOGNITION DEVICE, RECOGNITION SYSTEM, AND COMPUTER PROGRAM
Document Type and Number:
WIPO Patent Application WO/2023/243397
Kind Code:
A1
Abstract:
Provided is a learning method of a learning model that recognizes the occurrence of a plurality of events. According to a learning method of a machine learning model that recognizes a plurality of events of an object, information (first feature point group data 201) about a plurality of feature points generated from an image of the object captured upon occurrence of an event A, and information (second feature point group data 211) about a plurality of feature points generated from an image of the object captured upon occurrence of an event B are prepared. Thereafter, the first feature point group data 201 and the second feature point group data 211 are combined to generate combined feature point group data 221. The combined feature point group data 221, and label data 222 which is for learning that a first event and a second event have occurred, are used as teacher data 223 for performing learning.
Inventors:
SEKII TAIKI
Application Number:
PCT/JP2023/020076
Publication Date:
December 21, 2023
Filing Date:
May 30, 2023
Export Citation:
Assignee:
KONICA MINOLTA INC (JP)
International Classes:
G06T7/00; G06T7/246; G06V40/20
Domestic Patent References:
| WO2021176605A1 | 2021-09-10 |
Foreign References:
| CN113963446A | 2022-01-21 |
Attorney, Agent or Firm:
NAKAJIMA & ASSOCIATES IP FIRM (JP)
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