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Improving retail efficiency through sensing technologies: A survey
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DOI：10.1016/j.patrec.2016.05.027.png)
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摘要
En 中文
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. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Intelligent retail
Computer vision
Human tracking
Facial analysis
Human-object interaction
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3.3
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1.6W
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