Forecasting store foot traffic using facial recognition, time series and support vector machines
In this paper, we explore data collected in a pilot project that used a digital camera and facial recognition to detect foot traffic to a sports store. Using a time series approach, we model daily incoming store traffic under three classes (all faces, female, male) and compare six forecasting approa...
Main Author: | |
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Other Authors: | , , , |
Format: | conferencePaper |
Language: | eng |
Published: |
2017
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Subjects: | |
Online Access: | http://hdl.handle.net/1822/43068 |
Country: | Portugal |
Oai: | oai:repositorium.sdum.uminho.pt:1822/43068 |