Improving retail efficiency through sensing technologies: A survey

Quintana González, Marcos and Menendez Garcia, Jose Manuel and Alvarez Garcia, Federico and López Velasco, Juan Pedro (2016). Improving retail efficiency through sensing technologies: A survey. "Pattern Recognition Letters", v. 81 ; pp. 3-10. ISSN 0167-8655. https://doi.org/10.1016/j.patrec.2016.05.027.

Description

Title: Improving retail efficiency through sensing technologies: A survey
Author/s:
  • Quintana González, Marcos
  • Menendez Garcia, Jose Manuel
  • Alvarez Garcia, Federico
  • López Velasco, Juan Pedro
Item Type: Article
Título de Revista/Publicación: Pattern Recognition Letters
Date: 1 October 2016
ISSN: 0167-8655
Volume: 81
Subjects:
Freetext Keywords: Intelligent retail; Computer vision; Human tracking; Facial analysis; Human-object interaction
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Measuring customer reaction to new products for understanding their level of engagement is necessary for the future of retail. This work introduces a workflow to improve the quality and efficiency of the retail establishments in order to increase their attractiveness. Different research fields are explored to fulfill the requirements of the proposed scenario, remarking most useful works in the literature. The manuscript goes through relevant algorithms to infer properties of consumers like demography, attention or behavior based on their appearance (computer vision techniques), and on signal captured by generation sensors from smart mobile devices, that will add a great value for the retailers. This paper offers a complete overview of this research field which covers a great variety of innovative tools.

More information

Item ID: 46144
DC Identifier: http://oa.upm.es/46144/
OAI Identifier: oai:oa.upm.es:46144
DOI: 10.1016/j.patrec.2016.05.027
Official URL: https://www.sciencedirect.com/science/article/pii/S0167865516301118?
Deposited by: Memoria Investigacion
Deposited on: 03 Jun 2017 11:39
Last Modified: 04 Jun 2019 10:05
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