Tracking The Eyes Using Interdependence Mean Shift Tracking Algorithm With Appropriate Information Provided

Masrullizam, Mat Ibrahim and Syafeeza, Ahmad Radzi and Soraghan, John (2016) Tracking The Eyes Using Interdependence Mean Shift Tracking Algorithm With Appropriate Information Provided. ARPN Journal Of Engineering And Applied Sciences, 11 (12). pp. 7862-7865. ISSN 1819-6608

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Abstract

The human eye tracking algorithm is very important, especially in the facial analysis application. Eyes represent rich of information that able to indicate the reaction, perception, or physiological status of individual. Most of the developed eyes tracking algorithm are not considered the condition of the eyes that would provide the appropriate information to be used in the processes of the facial analysis algorithm. This paper proposes a new technique in how the eyes are tracked and provide the appropriate information for further process. This technique uses Mean Shift tracking algorithm and interdependence scheme to track the eye and stop the tracking when eyes are out of best position and condition to deliver the appropriate information. This proposed algorithm is tested and evaluated using Strathclyde Facial Fatigue (SFF) video footage database, a collection of video footage from the internet and our own facial recording. Based on the experiment carried out, the proposed technique shows the promising result.

Item Type:	Article
Uncontrolled Keywords:	eye tracking, mean shift and eye detection.
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electronics and Computer Engineering > Department of Computer Engineering
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	29 Nov 2016 04:58
Last Modified:	14 Sep 2021 13:44
URI:	http://eprints.utem.edu.my/id/eprint/17693
Statistic Details:	View Download Statistic

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