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, GIANLUIGI
Primo
;
NAPOLETANO, PAOLO
Secondo
;
SCHETTINI, RAIMONDO
Ultimo
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.
poster + paper
Food recognition, Leftover estimation, Diet monitoring
English
ICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM 7-8 September
2015
Murino, V; Puppo, E; Sona, D; Cristani, M; Sansone, C
New Trends in Image Analysis and Processing - ICIAP 2015 Workshops. ICIAP 2015 International Workshops BioFor, CTMR, RHEUMA, ISCA, MADiMa SBMI, and QoEM
9783319232218
2015
9281
334
341
none
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].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/88791
Citazioni
  • Scopus 49
  • ???jsp.display-item.citation.isi??? 36
Social impact