Two-step approach for real-time eye tracking with a new filtering technique
Head and face detection and eye tracking in real time are the first steps for head gesture recognition and/or face expression recognition for a human-computer interaction interface. We propose a two-step approach for eye tracking in video streams. First, we detect or track a point between the eyes....
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| creator | Kawato, S. Ohya, J. |
| description | Head and face detection and eye tracking in real time are the first steps for head gesture recognition and/or face expression recognition for a human-computer interaction interface. We propose a two-step approach for eye tracking in video streams. First, we detect or track a point between the eyes. For this task, we apply a special filter that we have proposed previously (Proc. IEEE 4th Int. Conf. on Automatic Face and Gesture Recognition, pp. 40-45, 2000). Once we have detected the point between the eyes, it is fairly easy to locate the eyes, which are the two small darkest parts on each side of this point. Because detecting a point between the eyes is easier and more stable than detecting the eyes directly, the system can track the eyes robustly. We implemented the system on an SGI O2 workstation. The video image size is 320/spl times/240 pixels. The system processes images at seven frames per second in the detection mode and at 13 frames per second in the tracking mode, without any special hardware. |
| doi_str_mv | 10.1109/ICSMC.2000.886044 |
| format | Conference Proceeding |
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The video image size is 320/spl times/240 pixels. The system processes images at seven frames per second in the detection mode and at 13 frames per second in the tracking mode, without any special hardware.</description><subject>Eyes</subject><subject>Face detection</subject><subject>Face recognition</subject><subject>Filtering</subject><subject>Filters</subject><subject>Head</subject><subject>Pixel</subject><subject>Robustness</subject><subject>Streaming media</subject><subject>Workstations</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>9780780365834</isbn><isbn>0780365836</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkNtKAzEYhIMHsNY-gF7lBbL-yea0l7J4KFa8sIJ3JU3_uNHtds1GSt_elgoDA8PHMAwh1xwKzqG6ndZvL3UhAKCwVoOUJ2QklDGMa6VOyaQyFvYqtbKlPCMjDlqwSoiPC3I5DF8AAiS3I_I8327YkLGnru_TxvmGhk2iCV3LclwjxR3SnJz_jt0n3cbcUEc73NIQ24zpEGb0TRd_fvGKnAfXDjj59zF5f7if109s9vo4re9mLHKQmZUgrNIKpebB7-dKrcFw55dCBWG4DrDSyJeVVVZx40VlD-BqGQQ6VEaUY3Jz7I2IuOhTXLu0WxxvKP8AVnJOmg</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Kawato, S.</creator><creator>Ohya, J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2000</creationdate><title>Two-step approach for real-time eye tracking with a new filtering technique</title><author>Kawato, S. ; Ohya, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-3028565e461fc165466071acb25f2716f0d6e1b9858517c29861fcdbf2eae5723</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Eyes</topic><topic>Face detection</topic><topic>Face recognition</topic><topic>Filtering</topic><topic>Filters</topic><topic>Head</topic><topic>Pixel</topic><topic>Robustness</topic><topic>Streaming media</topic><topic>Workstations</topic><toplevel>online_resources</toplevel><creatorcontrib>Kawato, S.</creatorcontrib><creatorcontrib>Ohya, J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kawato, S.</au><au>Ohya, J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Two-step approach for real-time eye tracking with a new filtering technique</atitle><btitle>Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0</btitle><stitle>ICSMC</stitle><date>2000</date><risdate>2000</risdate><volume>2</volume><spage>1366</spage><epage>1371 vol.2</epage><pages>1366-1371 vol.2</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>9780780365834</isbn><isbn>0780365836</isbn><abstract>Head and face detection and eye tracking in real time are the first steps for head gesture recognition and/or face expression recognition for a human-computer interaction interface. We propose a two-step approach for eye tracking in video streams. First, we detect or track a point between the eyes. For this task, we apply a special filter that we have proposed previously (Proc. IEEE 4th Int. Conf. on Automatic Face and Gesture Recognition, pp. 40-45, 2000). Once we have detected the point between the eyes, it is fairly easy to locate the eyes, which are the two small darkest parts on each side of this point. Because detecting a point between the eyes is easier and more stable than detecting the eyes directly, the system can track the eyes robustly. We implemented the system on an SGI O2 workstation. The video image size is 320/spl times/240 pixels. The system processes images at seven frames per second in the detection mode and at 13 frames per second in the tracking mode, without any special hardware.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2000.886044</doi></addata></record> |
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| ispartof | Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0, 2000, Vol.2, p.1366-1371 vol.2 |
| issn | 1062-922X 2577-1655 |
| language | eng |
| recordid | cdi_ieee_primary_886044 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Eyes Face detection Face recognition Filtering Filters Head Pixel Robustness Streaming media Workstations |
| title | Two-step approach for real-time eye tracking with a new filtering technique |
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