Single Camera Remote Eye Gaze Tracking Under Natural Head Movements
Most available gaze tracking systems based on corneal reflection have low tolerance for head movements. In this paper, an eye-gaze tracking method, which can make this system be adaptive to external lighting changes and to the user’s head movements, is put forward to alleviate the restriction on the...
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creator | Liu, Ruian Jin, Shijiu Wu, Xiaorong |
description | Most available gaze tracking systems based on corneal reflection have low tolerance for head movements. In this paper, an eye-gaze tracking method, which can make this system be adaptive to external lighting changes and to the user’s head movements, is put forward to alleviate the restriction on the user’s head motion. We manage to improve the performance of the algorithm: The thresholds for extraction of the pupil and the corneal reflection are automated; the edge points of the pupil could be obtained by a 1D line search. To improve the resolution and accuracy of the system, the sub-pixel technique is used to locate the feature position accurately in the eye image. We apply a new randomized method of ellipse fitting to the edge points for good results. Our system can work under natural head movements by using only one camera to track eye-gaze. It can run in real time at video rate (25frames/second). A gaze accuracy of 1 degree is observed. |
doi_str_mv | 10.1007/11941354_63 |
format | Conference Proceeding |
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We apply a new randomized method of ellipse fitting to the edge points for good results. Our system can work under natural head movements by using only one camera to track eye-gaze. It can run in real time at video rate (25frames/second). A gaze accuracy of 1 degree is observed.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540497769</identifier><identifier>ISBN: 3540497765</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540497790</identifier><identifier>EISBN: 354049779X</identifier><identifier>DOI: 10.1007/11941354_63</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; calibration ; Computer science; control theory; systems ; Computer systems and distributed systems. 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H.</contributor><contributor>Saito, Hideo</contributor><contributor>Haller, Michael</contributor><contributor>Cheok, Adrian</contributor><creatorcontrib>Liu, Ruian</creatorcontrib><creatorcontrib>Jin, Shijiu</creatorcontrib><creatorcontrib>Wu, Xiaorong</creatorcontrib><title>Single Camera Remote Eye Gaze Tracking Under Natural Head Movements</title><title>Advances in Artificial Reality and Tele-Existence</title><description>Most available gaze tracking systems based on corneal reflection have low tolerance for head movements. In this paper, an eye-gaze tracking method, which can make this system be adaptive to external lighting changes and to the user’s head movements, is put forward to alleviate the restriction on the user’s head motion. We manage to improve the performance of the algorithm: The thresholds for extraction of the pupil and the corneal reflection are automated; the edge points of the pupil could be obtained by a 1D line search. To improve the resolution and accuracy of the system, the sub-pixel technique is used to locate the feature position accurately in the eye image. We apply a new randomized method of ellipse fitting to the edge points for good results. Our system can work under natural head movements by using only one camera to track eye-gaze. It can run in real time at video rate (25frames/second). A gaze accuracy of 1 degree is observed.</description><subject>Applied sciences</subject><subject>calibration</subject><subject>Computer science; control theory; systems</subject><subject>Computer systems and distributed systems. User interface</subject><subject>corneal reflection</subject><subject>ellipse fitting</subject><subject>Exact sciences and technology</subject><subject>Gaze tracking</subject><subject>Software</subject><subject>threshold</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540497769</isbn><isbn>3540497765</isbn><isbn>9783540497790</isbn><isbn>354049779X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpVkDtPw0AQhI-XRAip-APXUFAYdu_OPl-JrJAg8ZAgqa3FXkchfkR3Bin8eoxCAdWMZj5NMUJcIFwjgL1BdAZ1bPJEH4iJs-ngwThrHRyKESaIkdbGHf3rEncsRqBBRc4afSrOQngHAGWdGonsdd2uapYZNexJvnDT9SynO5Yz-mK58FRsBkIu25K9fKL-w1Mt50ylfOw-ueG2D-fipKI68ORXx2J5N11k8-jheXaf3T5EW4Wuj2wJhBDboqpKBgaVxAUqhlQPubIGEEulKS1MigYtIpgEIE7Akkt0WuqxuNzvbikUVFee2mId8q1fN-R3OTrnVKzUwF3tuTBU7Yp9_tZ1m5Aj5D8v5n9e1N9ou1vA</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Liu, Ruian</creator><creator>Jin, Shijiu</creator><creator>Wu, Xiaorong</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2006</creationdate><title>Single Camera Remote Eye Gaze Tracking Under Natural Head Movements</title><author>Liu, Ruian ; Jin, Shijiu ; Wu, Xiaorong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-7d0a1057cffde0e0265c12e0830a1274011d23a8c48141711046005607a9638d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Applied sciences</topic><topic>calibration</topic><topic>Computer science; control theory; systems</topic><topic>Computer systems and distributed systems. User interface</topic><topic>corneal reflection</topic><topic>ellipse fitting</topic><topic>Exact sciences and technology</topic><topic>Gaze tracking</topic><topic>Software</topic><topic>threshold</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Ruian</creatorcontrib><creatorcontrib>Jin, Shijiu</creatorcontrib><creatorcontrib>Wu, Xiaorong</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Ruian</au><au>Jin, Shijiu</au><au>Wu, Xiaorong</au><au>Pan, Zhigeng</au><au>Liang, Ronghua</au><au>Lau, Rynson W. H.</au><au>Saito, Hideo</au><au>Haller, Michael</au><au>Cheok, Adrian</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Single Camera Remote Eye Gaze Tracking Under Natural Head Movements</atitle><btitle>Advances in Artificial Reality and Tele-Existence</btitle><date>2006</date><risdate>2006</risdate><spage>614</spage><epage>623</epage><pages>614-623</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540497769</isbn><isbn>3540497765</isbn><eisbn>9783540497790</eisbn><eisbn>354049779X</eisbn><abstract>Most available gaze tracking systems based on corneal reflection have low tolerance for head movements. In this paper, an eye-gaze tracking method, which can make this system be adaptive to external lighting changes and to the user’s head movements, is put forward to alleviate the restriction on the user’s head motion. We manage to improve the performance of the algorithm: The thresholds for extraction of the pupil and the corneal reflection are automated; the edge points of the pupil could be obtained by a 1D line search. To improve the resolution and accuracy of the system, the sub-pixel technique is used to locate the feature position accurately in the eye image. We apply a new randomized method of ellipse fitting to the edge points for good results. Our system can work under natural head movements by using only one camera to track eye-gaze. It can run in real time at video rate (25frames/second). A gaze accuracy of 1 degree is observed.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11941354_63</doi><tpages>10</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0302-9743 |
ispartof | Advances in Artificial Reality and Tele-Existence, 2006, p.614-623 |
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language | eng |
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source | Springer Books; IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Applied sciences calibration Computer science control theory systems Computer systems and distributed systems. User interface corneal reflection ellipse fitting Exact sciences and technology Gaze tracking Software threshold |
title | Single Camera Remote Eye Gaze Tracking Under Natural Head Movements |
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