A mobile, lightweight, poll-based food identification system
| Autor: | Talmai Brandão De Oliveira, Eduardo Manuel de Freitas Jorge, Victor Costa, Gustavo De Almeida Neves, Miguel Gustavo Lizárraga, Luciano Oliveira |
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| Rok vydání: | 2014 |
| Předmět: |
Calorie
Dietary assessment Computer science business.industry Rank (computer programming) Process (computing) Overweight Machine learning computer.software_genre Support vector machine Identification (information) Artificial Intelligence Feature (computer vision) Signal Processing medicine Computer Vision and Pattern Recognition Artificial intelligence medicine.symptom business computer Mobile device Software |
| Zdroj: | Pattern Recognition. 47:1941-1952 |
| ISSN: | 0031-3203 |
| Popis: | Even though there are many reasons that can lead to people being overweight, experts agree that ingesting more calories than needed is one of them. But besides the appearance issue, being overweight is actually a medical concern because it can seriously affect a person's health. Losing weight then becomes an important goal, and one way to achieve it, is to burn more calories than ingested. The present paper addresses the problem of food identification based on image recognition as a tool for dietary assessment. To the best of our knowledge, this is the first system totally embedded into a camera-equipped mobile device, capable of identifying and classifying meals - that is, pictures which have multiple types of food placed on a plate. Considering the variability of the environment conditions, which the camera will be in, the identification process must be robust. It must also be fast, sustaining very low wait-times for the user. In this sense, we propose a novel approach, which integrates segmentation and learning on a multi-ranking framework. The segmentation is based on a modified region-growing method which runs over multiple feature spaces. These multiple segments feed support vector machines, which rank the most probable segment corresponding to a type of food. Experimental results demonstrate the effectiveness of the proposed method on a cell phone. |
| Databáze: | OpenAIRE |
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