• Title/Summary/Keyword: Irises Positioning

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Irises Position Tracking Improvement Using S-FPDP on Moving Irises Image (S-FPDP기법을 적용한 동영상홍채의 위치추적 향상)

  • Ryu Kwang ryol;Chai Duck-hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.1
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    • pp.123-126
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    • 2006
  • A capability improvement tracking position on the moving irises and eyes is presented in this paper. The improving method is used the S-FPDP(Side-Four Points Diagonal positioning). The experimental results show that the tracking accuracy is high than the FPDP(Four Points Diagonal Positioning), the tracking range is wide and is tracked the moving irises and eyes at real time.

Real Time System Realization for Binocular Eyeball Tracking Screen Cursor

  • Ryu Kwang-Ryol;Chai Duck-Hyun;Sclabassi Robert J.
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.841-846
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    • 2006
  • A real time system realization for binocular eyeball tracking cursor on the computer monitor screen is presented in the paper. The processing for searching iris and tracking the cursor are that a facial is acquired by the small CCD camera, convert it into binary image, search for the eye two using the five region mask method in the eye surroundings and the side four points diagonal positioning method is searched the each iris. The tracking cursor is matched by measuring the iris central moving position, The cursor controlling is achieved by comparing two related distances between the iris maximum moving and the cursor moving to calculate the moving stance from gazing position and screen. The experimental result are obtained by examining some adults person on the system.

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Real Time System Realization for Binocular Eyeball Tracking Mouse (실시간 쌍안구 추적 마우스 시스템 구현에 관한 연구)

  • Ryu Kwang-Ryol;Choi Duck-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.9
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    • pp.1671-1678
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    • 2006
  • A real time system realization for binocular eyeball tracking mouse on the computer monitor being far from 30-40cm is presented in the paper. The processing for searching eyeball and tracking the cursor are that a facial image is acquired by the small CCD camera, convert it into binary image, search for the eye two using the five region mask method in the eye surroundings and the side four points diagonal positioning method is searched the each iris. The tracking cursor is matched by measuring the iris central moving position. The cursor controlling is achieved by comparing two related distances between the iris maximum moving and the cursor moving to calculate the moving distance from gazing position and screen. The experimental results show that the binocular eyeball mouse system is simple and fast to be real time.