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Intelligent Child Monitoring System
Ouiem Bchir, Mohamed Maher Ben Ismail, Malak Al-Masoud, Nora Al-Asfoor, Hetaf Al-Manna'a, Shurooq Al-Harbi, Reem Oqilan
Pages - 30 - 44     |    Revised - 30-06-2020     |    Published - 01-08-2020
Volume - 14   Issue - 3    |    Publication Date - August 2020  Table of Contents
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KEYWORDS
Child Monitoring, Object Detection, Object Tracking, Gaussian Mixture, Kalman Filter.
ABSTRACT
In this paper, a child monitoring system is proposed to watch and track children while playing. In particular, the system detects the moving child using a background subtraction approach which relies on adaptive nonparametric Gaussian mixture modelling. Then, Kalman Filter is adopted for the tracking task. If the child oversteps the specified area or does something he is not supposed to do, the proposed system notifies the parents and convey a message to the child. The experimental results proved the effectiveness of the proposed system with an average F-score of 0.87 with a standard deviation of 0.07.
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Associate Professor Ouiem Bchir
College of Computer and Information Sciences, Computer Science Department, King Saud University, Riyadh - Saudi Arabia
ouiem.bchir@gmail.com
Dr. Mohamed Maher Ben Ismail
College of Computer and Information Sciences, Computer Science Department, King Saud University, Riyadh - Saudi Arabia
Mr. Malak Al-Masoud
College of Computer and Information Sciences, Computer Science Department, King Saud University, Riyadh - Saudi Arabia
Miss. Nora Al-Asfoor
College of Computer and Information Sciences, Computer Science Department, King Saud University, Riyadh - Saudi Arabia
Mr. Hetaf Al-Manna'a
College of Computer and Information Sciences, Computer Science Department, King Saud University, Riyadh - Saudi Arabia
Mr. Shurooq Al-Harbi
College of Computer and Information Sciences, Computer Science Department, King Saud University, Riyadh - Saudi Arabia
Mr. Reem Oqilan
College of Computer and Information Sciences, Computer Science Department, King Saud University, Riyadh - Saudi Arabia