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Title:
物品推定プログラム、物品推定装置、及び物品推定方法
Document Type and Number:
Japanese Patent JP7346951
Kind Code:
B2
Abstract:
To improve estimation accuracy of an article shown in an image obtained by imaging a plurality of articles.SOLUTION: Based on an estimation model for estimating an article shown in an image generated by a learning process for an image set, a computer estimates an article area in which each of a plurality of articles is shown in a processing target image obtained by imaging the plurality of articles and the articles shown in the article area. Next, the computer corrects an estimation result for a specific article so that the estimation result for the specific article reflected in a specific article area among a plurality of article areas in the processing target image approaches the estimation result for the article shown in a remaining article area among the plurality of article areas.SELECTED DRAWING: Figure 6

Inventors:
Yoshikatsu Onyado
Application Number:
JP2019128596A
Publication Date:
September 20, 2023
Filing Date:
July 10, 2019
Export Citation:
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Assignee:
富士通株式会社
International Classes:
G06T7/00; G06Q30/06; G06V30/14
Foreign References:
WO2019107157A1
WO2016063484A1
Other References:
赤塚 隼,Technology Reports,NTT DOCOMOテクニカル・ジャーナル Vol.26 No.2,日本,一般社団法人電気通信協会,2018年07月31日,P.22-30
Ipek Baz, Erdem Yoruk, Mujdat Cetin,Context-Aware Hybrid Classification System for Fine-Grained Retail Product Recognition,2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP),米国,IEEE,2016年07月11日,5 pages in total,https://ieeexplore.ieee.org/document/7528213/
Matttias Marder, Sivan Harary, Amnon Ribak, Yochay Tzur, Sharon Alpert, Asaf Tzadok,Using image analytics to monitor retail store shelves,IBM Journal of Research and Development,米国,IBM,2015年04月24日,Vol. 59, No. 2/3 (March-May 2015),pp. 3:1-3:11,https://ieeexplore.ieee.org/document/7094970/
Attorney, Agent or Firm:
Yoshiyuki Ohsuga
Hiroyoshi Aoki
Masayuki Amada



 
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