A New Real-Time Eye Tracking for Driver Fatigue Detection
Driver fatigue is one of the important factors that cause traffic accidents. The vision-based facial expression recognition technique is the most prospective method to detect driver fatigue. In this paper, we present a new driver fatigue detection based on unscented Kalman filter and eye tracking in...
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| creator | Zutao Zhang Jiashu Zhang |
| description | Driver fatigue is one of the important factors that cause traffic accidents. The vision-based facial expression recognition technique is the most prospective method to detect driver fatigue. In this paper, we present a new driver fatigue detection based on unscented Kalman filter and eye tracking in this paper. The face is located using Haar algorithm firstly, which has good robustness in terms of head motions, variable lighting conditions, the change of hair and having glasses, etc. Secondly, the geometric properties and projection technique are used for eye location. Thirdly, we propose a new real time eye tracking method based on unscented Kalman Filter. Finally, driver fatigue can be detected whether the eyes are closed over 5 consecutive frames using vertical projection matching. The experimental results show validity of our method for driver fatigue detection under variable realistic conditions |
| doi_str_mv | 10.1109/ITST.2006.288748 |
| format | Conference Proceeding |
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The vision-based facial expression recognition technique is the most prospective method to detect driver fatigue. In this paper, we present a new driver fatigue detection based on unscented Kalman filter and eye tracking in this paper. The face is located using Haar algorithm firstly, which has good robustness in terms of head motions, variable lighting conditions, the change of hair and having glasses, etc. Secondly, the geometric properties and projection technique are used for eye location. Thirdly, we propose a new real time eye tracking method based on unscented Kalman Filter. Finally, driver fatigue can be detected whether the eyes are closed over 5 consecutive frames using vertical projection matching. The experimental results show validity of our method for driver fatigue detection under variable realistic conditions</description><subject>Change detection algorithms</subject><subject>Eyes</subject><subject>Face detection</subject><subject>Face recognition</subject><subject>Fatigue</subject><subject>Glass</subject><subject>Hair</subject><subject>Road accidents</subject><subject>Robustness</subject><subject>Target tracking</subject><isbn>0780395867</isbn><isbn>9780780395862</isbn><isbn>9780780395879</isbn><isbn>0780395875</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1jMtKAzEUQCMiqHX2gpv8wIw3yc1rWfrQQrFQx3XJTO6UaB-SGZX-vYIKBw5ncxi7FVAJAf5-UT_XlQQwlXTOojtjhbcOflBeO-vP2fV_GHvJir5_BQBhvFVaXjE_5k_0xdcUdmWd9sRnJ-J1Du1bOmx5d8x8mtMnZT4PQ9p-EJ_SQO2QjocbdtGFXU_Fn0fsZT6rJ4_lcvWwmIyXZRJWD6VzZFBqBNcieWqiQooRG2-0CiSbJtpOdy404IUCSRGsp9gKRFRoQ6dG7O73m4ho857TPuTTBsE4Laz6Bo1sRtY</recordid><startdate>200606</startdate><enddate>200606</enddate><creator>Zutao Zhang</creator><creator>Jiashu Zhang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200606</creationdate><title>A New Real-Time Eye Tracking for Driver Fatigue Detection</title><author>Zutao Zhang ; Jiashu Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-88e6425408c4e9ebd34edd4b9653ae2bbd7f5f8ab091302ed079edc1444347af3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Change detection algorithms</topic><topic>Eyes</topic><topic>Face detection</topic><topic>Face recognition</topic><topic>Fatigue</topic><topic>Glass</topic><topic>Hair</topic><topic>Road accidents</topic><topic>Robustness</topic><topic>Target tracking</topic><toplevel>online_resources</toplevel><creatorcontrib>Zutao Zhang</creatorcontrib><creatorcontrib>Jiashu Zhang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zutao Zhang</au><au>Jiashu Zhang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A New Real-Time Eye Tracking for Driver Fatigue Detection</atitle><btitle>2006 6th International Conference on ITS Telecommunications</btitle><stitle>ITST</stitle><date>2006-06</date><risdate>2006</risdate><spage>8</spage><epage>11</epage><pages>8-11</pages><isbn>0780395867</isbn><isbn>9780780395862</isbn><eisbn>9780780395879</eisbn><eisbn>0780395875</eisbn><abstract>Driver fatigue is one of the important factors that cause traffic accidents. The vision-based facial expression recognition technique is the most prospective method to detect driver fatigue. In this paper, we present a new driver fatigue detection based on unscented Kalman filter and eye tracking in this paper. The face is located using Haar algorithm firstly, which has good robustness in terms of head motions, variable lighting conditions, the change of hair and having glasses, etc. Secondly, the geometric properties and projection technique are used for eye location. Thirdly, we propose a new real time eye tracking method based on unscented Kalman Filter. Finally, driver fatigue can be detected whether the eyes are closed over 5 consecutive frames using vertical projection matching. The experimental results show validity of our method for driver fatigue detection under variable realistic conditions</abstract><pub>IEEE</pub><doi>10.1109/ITST.2006.288748</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2006 6th International Conference on ITS Telecommunications, 2006, p.8-11 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Change detection algorithms Eyes Face detection Face recognition Fatigue Glass Hair Road accidents Robustness Target tracking |
| title | A New Real-Time Eye Tracking for Driver Fatigue Detection |
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