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

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. Outline. Motivation Objective Methodology Experiments and Results Conclusion

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

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  1. 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

  2. Outline Motivation Objective Methodology Experiments and Results Conclusion Personal Comments

  3. 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.

  4. 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.

  5. Methodology overall 1. Eye detection 3. Human eye sclera tracking 2. Eye feature extraction Eye inner boundary detection using a modified TASOM Iris center localization Eye corner detection

  6. Methodology - The TASOM-ACM algorithm 6 (1) Weight initialization (2) Weight modification • weights wj are trained by the TASOM algorithm using the feature points x∈{x1, 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.

  7. Methodology - Modified TASOM The winning neuron identification Unused neuron removal

  8. Methodology - Human eye sclera tracking Neuron change ratio (NCR) Edge change ratio (ECR)

  9. Experiments

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

  11. Personal Comments • Advantage • … • Drawback • … • Application • Image Recognition

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