Autor segons l'article: Sarker MMK; Banu SF; Rashwan HA; Abdel-Nasser M; Singh VK; Chambon S; Radeva P; Puig D
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Abdelnasser Mohamed Mahmoud, Mohamed / Puig Valls, Domènec Savi
Paraules clau: Egocentric vision Food pattern classification One-shot learning Scene classification Siamese neural networks
Resum: © 2019 The authors and IOS Press. All rights reserved. Wearable cameras are become more popular in recent years for capturing the unscripted moments of the first-person that help to analyze the users lifestyle. In this work, we aim to recognize the places related to food in egocentric images during a day to identify the daily food patterns of the first-person. Thus, this system can assist to improve their eating behavior to protect users against food-related diseases. In this paper, we use Siamese Neural Networks to learn the similarity between images from corresponding inputs for one-shot food places classification. We tested our proposed method with'MiniEgoFoodPlaces' with 15 food related places. The proposed Siamese Neural Networks model with MobileNet achieved an overall classification accuracy of 76.74% and 77.53% on the validation and test sets of the “MiniEgoFoodPlaces” dataset, respectively outperforming with the base models, such as ResNet50, InceptionV3, and InceptionResNetV2.
Àrees temàtiques: Artificial intelligence Ciências agrárias i Comunicació i informació Engenharias iii Engenharias iv General o multidisciplinar Información y documentación Interdisciplinar Medicina ii
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: domenec.puig@urv.cat mohamed.abdelnasser@urv.cat
Identificador de l'autor: 0000-0002-0562-4205 0000-0002-1074-2441
Data d'alta del registre: 2023-05-20
Versió de l'article dipositat: info:eu-repo/semantics/submittedVersion
Enllaç font original: https://ebooks.iospress.nl/publication/52830
Referència a l'article segons font original: Frontiers In Artificial Intelligence And Applications. 319 145-151
Referència de l'ítem segons les normes APA: Sarker MMK; Banu SF; Rashwan HA; Abdel-Nasser M; Singh VK; Chambon S; Radeva P; Puig D (2019). Food places classification in egocentric images using Siamese neural networks.
URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.3233/FAIA190117
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2019
Tipus de publicació: Proceedings Paper
Repositori URV