Human eye sclera detection and tracking using a modified time-adaptive self-organizing map

Intelligent Database Systems Lab

國立雲林科技大學National Yunlin University of Science and Technology

Human eye sclera detection and tracking using a modified time-adaptive self-organizing map

Presenter : Shu-Ya Li

Authors : Mohammad Hossein Khosravi,

Reza Safabakhsh

PR, 2008 1

Intelligent Database Systems Lab

N.Y.U.S.T.I. M.Outline

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Motivation

Objective

Methodology

Experiments and Results

Conclusion

Personal Comments

Intelligent Database Systems Lab

N.Y.U.S.T.I. M.Motivation

Automatic detection of human face and its components and tracking the component movements is an active research area in machine vision. intelligent man–machine interfaces driver behavior analysis human identification/identity verification

The original TASOM algorithm is found to have some weaknesses in this application.

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Intelligent Database Systems Lab

N.Y.U.S.T.I. M.Objectives

Human eye sclera detection

Human eye sclera tracking

This paper proposed a new method for human eye sclera detection and tracking based on a modified TASOM.

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Intelligent Database Systems Lab

N.Y.U.S.T.I. M.Methodology overall

1. Eye detection

2. Eye feature extraction

Iris center localization

Eye corner detection Eye inner boundary detection using a modified TASOM

3. Human eye sclera tracking

Intelligent Database Systems Lab

N.Y.U.S.T.I. M.Methodology - The TASOM-ACM algorithm

(1) Weight initialization

(2) Weight modification

weights wj are trained by the TASOM algorithm using the feature points x {x∈ 1, x2, . . . , xk}.

(3) Contour updating

(4) Weight updating

(5) Neuron addition to or deletion from the TASOM network

(6) Going to step (2) until some stopping criterion is satisfied.

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Intelligent Database Systems Lab

N.Y.U.S.T.I. M.Methodology - Modified TASOM

The winning neuron identification

Unused neuron removal

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Intelligent Database Systems Lab

N.Y.U.S.T.I. M.Methodology - Human eye sclera tracking

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Edge change ratio (ECR)

Neuron change ratio (NCR)

Intelligent Database Systems Lab

N.Y.U.S.T.I. M.Experiments

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Intelligent Database Systems Lab

N.Y.U.S.T.I. M.Conclusion

This paper proposed a new method for human eye sclera detection and tracking based on a modified TASOM.

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Intelligent Database Systems Lab

N.Y.U.S.T.I. M.Personal Comments

Advantage …

Drawback …

Application Image Recognition

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