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...
| Autor principal: | |
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| Outros Autores: | , , , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2017
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/43068 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/43068 |