Presentation 2013-03-11
Research on Recognizing Customers' Behaviors in Shops Based on Bayesian Network
Yao ZHENG, Jun OHYA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) For supermarkets and stores, marketing surveillance is a very important issue: in particular, customers' hesitations on purchase, which cannot be recorded by POS systems, are extremely important. This paper studies how to classify the following four categories: "purchased without hesitation", "purchased with hesitation", "not purchased without hesitation", and "not purchased with hesitation". Since these behaviors tend to vary depending on persons and situations, Bayesian network is considered to be a useful method for the classification. By manually extracting image features from video sequences that observe a shop's comer, Bayesian network based classification was explored. Consequently, promising experimental results were obtained.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Consumer behavior / Bayesian network / shop / hesitation / marketing surveillance / surveillance camera
Paper # IMQ2012-43,IE2012-147,MVE2012-104,WIT2012-53
Date of Issue

Conference Information
Committee MVE
Conference Date 2013/3/4(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Research on Recognizing Customers' Behaviors in Shops Based on Bayesian Network
Sub Title (in English)
Keyword(1) Consumer behavior
Keyword(2) Bayesian network
Keyword(3) shop
Keyword(4) hesitation
Keyword(5) marketing surveillance
Keyword(6) surveillance camera
1st Author's Name Yao ZHENG
1st Author's Affiliation Graduate School of Global Information and Telecommunication Studies()
2nd Author's Name Jun OHYA
2nd Author's Affiliation Graduate School of Global Information and Telecommunication Studies
Date 2013-03-11
Paper # IMQ2012-43,IE2012-147,MVE2012-104,WIT2012-53
Volume (vol) vol.112
Number (no) 474
Page pp.pp.-
#Pages 6
Date of Issue