Robust Shelf Monitoring Using Supervised Learning for Improving On-Shelf Availability in Retail Stores

Robust Shelf Monitoring Using Supervised Learning for Improving On-Shelf Availability in Retail Stores

This paper proposes a method to robustly monitor shelves in retail stores using supervised learning for improving on-shelf availability. To ensure high on-shelf availability, which is a key factor for improving profits in retail stores, we focus on understanding changes in products regarding increas...

Full description

Bibliographic Details
Main Authors: Kyota Higa, Kota Iwamoto
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Sensors
Subjects:
image processing
change detection
change classification
background subtraction
convolutional neural network
on-shelf availability
product amount
surveillance camera
retail
Online Access:https://www.mdpi.com/1424-8220/19/12/2722

Internet

https://www.mdpi.com/1424-8220/19/12/2722

Similar Items