TY  - CONF
AU  - Md. Mostafa Kamal Sarker
AU  - Hatem A. Rashwan
AU  - Estefania Talavera
AU  - Syeda Furruka Banu
AU  - Petia Radeva
AU  - Domenec Puig
A2  - ECCVW
PY  - 2018//
TI  - MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams
T2  - LCNS
BT  - European Conference on Computer Vision workshops
SP  - 423
EP  - 433
N2  - First-person (wearable) camera continually captures unscripted interactions of the camera user with objects, people, and scenes reflecting his personal and relational tendencies. One of the preferences of people is their interaction with food events. The regulation of food intake and its duration has a great importance to protect against diseases. Consequently, this work aims to develop a smart model that is able to determine the recurrences of a person on food places during a day. This model is based on a deep end-to-end model for automatic food places recognition by analyzing egocentric photo-streams. In this paper, we apply multi-scale Atrous convolution networks to extract the key features related to food places of the input images. The proposed model is evaluated on an in-house private dataset called "EgoFoodPlaces". Experimental results shows promising results of food places classification recognition in egocentric photo-streams.
L1  - http://refbase.cvc.uab.es/files/SRR2018b.pdf
N1  - MILAB; no menciona
ID  - Md. Mostafa Kamal Sarker2018
ER  -