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1. WO2018131214 - PREDICTION DEVICE AND PREDICTION METHOD

Publication Number WO/2018/131214
Publication Date 19.07.2018
International Application No. PCT/JP2017/034045
International Filing Date 21.09.2017
IPC
G06Q 30/02 2012.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
30Commerce, e.g. shopping or e-commerce
02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
G06N 99/00 2010.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
99Subject matter not provided for in other groups of this subclass
G06Q 30/06 2012.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
30Commerce, e.g. shopping or e-commerce
06Buying, selling or leasing transactions
CPC
G06K 9/00778
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
00771Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
00778Recognition or static of dynamic crowd images, e.g. recognition of crowd congestion
G06K 9/6223
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6218Clustering techniques
622Non-hierarchical partitioning techniques
6221based on statistics
6223with a fixed number of clusters, e.g. K-means clustering
G06K 9/6274
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6267Classification techniques
6268relating to the classification paradigm, e.g. parametric or non-parametric approaches
627based on distances between the pattern to be recognised and training or reference patterns
6271based on distances to prototypes
6274based on distances to neighbourhood prototypes, e.g. Restricted Coulomb Energy Networks
G06K 9/6297
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6296Graphical models, e.g. Bayesian networks
6297Markov models and related models, e.g. semi-Markov models; Markov random fields; networks embedding Markov models
G06N 3/006
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
004Artificial life, i.e. computers simulating life
006based on simulated virtual individual or collective life forms, e.g. single "avatar", social simulations, virtual worlds or particle swarm optimisation
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
Applicants
  • パナソニックIPマネジメント株式会社 PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD. [JP]/[JP]
Inventors
  • 沖本 純幸 OKIMOTO Yoshiyuki
  • 秦 秀彦 SHIN Hidehiko
  • 伊藤 智祥 ITOH Tomoaki
  • 山口 晃一郎 YAMAGUCHI Koichiro
Agents
  • 鎌田 健司 KAMATA Kenji
  • 前田 浩夫 MAEDA Hiroo
Priority Data
2017-00435413.01.2017JP
Publication Language Japanese (JA)
Filing Language Japanese (JA)
Designated States
Title
(EN) PREDICTION DEVICE AND PREDICTION METHOD
(FR) DISPOSITIF ET PROCÉDÉ DE PRÉDICTION
(JA) 予測装置及び予測方法
Abstract
(EN)
Provided is a prediction device (1), which predicts a flow of persons after the placements of products have been changed within a region, said device comprising: acquisition units (10, 30) which acquire flow path information which denotes a flow of a plurality of persons within a region, placement information which denotes placement positions of products, and change information which denotes a change in the placements of the products; and a control unit (40) which, on the basis of the flow path information and the placement information, generates an action model of the persons within the region by inverse reinforcement learning, and which, on the basis of the action model and the change information, predicts the flow of the persons after the placements of the products have been changed.
(FR)
L'invention concerne un dispositif de prédiction (1), qui prédit un flux de personnes après que les placements de produits ont été changés à l'intérieur d'une région, ledit dispositif comprenant : des unités d'acquisition (10, 30) qui acquièrent des informations de trajet de flux qui indiquent un flux d'une pluralité de personnes à l'intérieur d'une région, des informations de placement qui indiquent des positions de placement de produits, et des informations de changement qui indiquent un changement des placements des produits ; et une unité de commande (40) qui, sur la base des informations de trajet d'écoulement et des informations de placement, génère un modèle d'action des personnes à l'intérieur de la région par apprentissage de renforcement inverse, et qui, sur la base du modèle d'action et des informations de changement, prédit le flux des personnes après que les placements des produits aient été changés.
(JA)
予測装置(1)は、領域内の商品の配置変更後の人の流れを予測する装置であって、領域内の複数の人の流れを示す動線情報と、商品の配置位置を示す配置情報と、商品の配置変更を示す変更情報とを取得する取得部(10、30)と、動線情報と配置情報とに基づいて、逆強化学習により、領域内の人の行動モデルを生成し、行動モデルと変更情報とに基づいて、商品の配置変更後の人の流れを予測する制御部(40)と、を備える。
Also published as
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