Driver fatigue detection method based on facial action unit recognition
The invention relates to a driver fatigue detection method based on facial action unit recognition. The method includes the steps of 1, locating a facial area in a video sequence; 2, locating and zoning facial key feature points; 3, subjecting corresponding facial areas in multiple frame images to m...
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creator | ZHANG LING DING WUYANG |
description | The invention relates to a driver fatigue detection method based on facial action unit recognition. The method includes the steps of 1, locating a facial area in a video sequence; 2, locating and zoning facial key feature points; 3, subjecting corresponding facial areas in multiple frame images to movement feature extraction; 4, classifying and recognizing extracted movement features, and using an AU (action unit) to mark out; 5, detecting whether a driver is fatigue or not by the facial action unit. The method has the advantages that facial appearance features in the fatigue state are extracted according to facial appearance states so that more stable and rich visual information can be obtained; the method is convenient and practical. |
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The method includes the steps of 1, locating a facial area in a video sequence; 2, locating and zoning facial key feature points; 3, subjecting corresponding facial areas in multiple frame images to movement feature extraction; 4, classifying and recognizing extracted movement features, and using an AU (action unit) to mark out; 5, detecting whether a driver is fatigue or not by the facial action unit. The method has the advantages that facial appearance features in the fatigue state are extracted according to facial appearance states so that more stable and rich visual information can be obtained; the method is convenient and practical.</description><language>chi ; eng</language><subject>DIAGNOSIS ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; MEDICAL OR VETERINARY SCIENCE ; SURGERY</subject><creationdate>2014</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20140101&DB=EPODOC&CC=CN&NR=103479367A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20140101&DB=EPODOC&CC=CN&NR=103479367A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG LING</creatorcontrib><creatorcontrib>DING WUYANG</creatorcontrib><title>Driver fatigue detection method based on facial action unit recognition</title><description>The invention relates to a driver fatigue detection method based on facial action unit recognition. The method includes the steps of 1, locating a facial area in a video sequence; 2, locating and zoning facial key feature points; 3, subjecting corresponding facial areas in multiple frame images to movement feature extraction; 4, classifying and recognizing extracted movement features, and using an AU (action unit) to mark out; 5, detecting whether a driver is fatigue or not by the facial action unit. The method has the advantages that facial appearance features in the fatigue state are extracted according to facial appearance states so that more stable and rich visual information can be obtained; the method is convenient and practical.</description><subject>DIAGNOSIS</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2014</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHB3KcosSy1SSEssyUwvTVVISS1JTS7JzM9TyE0tychPUUhKLE5NUQDy0xKTMxNzFBIhsqV5mSUKRanJ-elABlCAh4E1LTGnOJUXSnMzKLq5hjh76KYW5MenFhckJqfmpZbEO_sZGhibmFsam5k7GhOjBgBrXDQK</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>ZHANG LING</creator><creator>DING WUYANG</creator><scope>EVB</scope></search><sort><creationdate>20140101</creationdate><title>Driver fatigue detection method based on facial action unit recognition</title><author>ZHANG LING ; DING WUYANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN103479367A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2014</creationdate><topic>DIAGNOSIS</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG LING</creatorcontrib><creatorcontrib>DING WUYANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG LING</au><au>DING WUYANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Driver fatigue detection method based on facial action unit recognition</title><date>2014-01-01</date><risdate>2014</risdate><abstract>The invention relates to a driver fatigue detection method based on facial action unit recognition. The method includes the steps of 1, locating a facial area in a video sequence; 2, locating and zoning facial key feature points; 3, subjecting corresponding facial areas in multiple frame images to movement feature extraction; 4, classifying and recognizing extracted movement features, and using an AU (action unit) to mark out; 5, detecting whether a driver is fatigue or not by the facial action unit. The method has the advantages that facial appearance features in the fatigue state are extracted according to facial appearance states so that more stable and rich visual information can be obtained; the method is convenient and practical.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | DIAGNOSIS HUMAN NECESSITIES HYGIENE IDENTIFICATION MEDICAL OR VETERINARY SCIENCE SURGERY |
title | Driver fatigue detection method based on facial action unit recognition |
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