DocumentCode :
525229
Title :
Eye detection based on rank order filter and projection function
Author :
Gan, Ling ; Liu, Qingjun
Author_Institution :
Coll. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Volume :
1
fYear :
2010
fDate :
25-27 June 2010
Abstract :
Eye detection is the preconditions for fatigue driving detection. In this paper, considering the deficiency of the origin algorithm based on rank order filter, an improved eye detection algorithm based on rank order filter and projection function is proposed. At first, according to the structure features and gray features, an ellipse mask combined with rank order filter is used to find the eye candidates initially. Then projection function is applied to excluding the no eye candidates and exactly locating eyes. By the comparative experiment of eye detection in the BioID face database, the results have shown the higher accuracy and efficiency of the improved algorithm.
Keywords :
eye; face recognition; traffic engineering computing; visual databases; BioID face database; ellipse mask; fatigue driving detection; gray features; improved eye detection algorithm; projection function; rank order filter; structure features; Computer science; Detection algorithms; Educational institutions; Eyes; Face detection; Fatigue; Filters; Gallium nitride; Road accidents; Telecommunication computing; ellipse mask; eye candidates; eye detection; projection function; rank order filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
Type :
conf
DOI :
10.1109/ICCDA.2010.5540901
Filename :
5540901
Link To Document :
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