Abdulateef, Salwa Khalid and Mahmuddin, Massudi and Harun, Nor Hazlyna and Aljeroudi, Yazan (2015) Dietary assessment and obesity aviodance system based on vision: A review. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey.

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Abstract

Using technology for food objects recognition and estimation of its calories is very useful to spread food culture and awareness among people in the age of obesity due to the bad habits of food consumption and wide range of inappropriate food products.Image based sensing of such system is very promising with the large expanding of camera embedded portable devices such as smartphones, PC tablets, and laptops.In the past decade, researchers have been working on developing a reliable image based system for food recognition and calories estimation.Different approaches have tackled the system from different aspects.This paper reviews the state of the art of this interesting application, and presents its experimental results.Future work of research is presented in order to guide new researchers toward potential tracks to create more maturity and reliability to this application.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN No: 978-967-0910-02-4 Jointly organized by: Universiti Utara Malaysia & Istanbul Zaim University
Uncontrolled Keywords:	Pattern recognition, image segmentation, classification, statistical estimation
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Dr. Massudi Mahmuddin
Date Deposited:	12 Oct 2015 08:02
Last Modified:	26 Apr 2016 08:13
URI:	https://repo.uum.edu.my/id/eprint/15648

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