Here we propose a system for automatic dietary monitoring of canteen customers based on robust computer vision techniques. The proposed system recognizes foods and estimates food leftovers. Results achieved on 1000 customers of a real canteen are promising.
Ciocca, G., Napoletano, P., Schettini, R. (2015). Food recognition and leftover estimation for daily diet monitoring. In New Trends in Image Analysis and Processing - ICIAP 2015 Workshops. ICIAP 2015 International Workshops BioFor, CTMR, RHEUMA, ISCA, MADiMa SBMI, and QoEM (pp.334-341). Springer Verlag [10.1007/978-3-319-23222-5_41].
Food recognition and leftover estimation for daily diet monitoring
CIOCCA, GIANLUIGIPrimo
;NAPOLETANO, PAOLO
Secondo
;SCHETTINI, RAIMONDOUltimo
2015
Abstract
Here we propose a system for automatic dietary monitoring of canteen customers based on robust computer vision techniques. The proposed system recognizes foods and estimates food leftovers. Results achieved on 1000 customers of a real canteen are promising.
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