DocumentCode :
1615678
Title :
A real-time pattern detection using fast feature matching algorithm
Author :
Lim, Young-Shin ; Joo, Hyonam ; Kim, Joon-Seek
Author_Institution :
Dept. of Digital Display, Hoseo Univ., Asan
fYear :
2008
Firstpage :
1981
Lastpage :
1985
Abstract :
A real-time eye tracking using fast face detection algorithm is proposed in this paper. Most of the current eye tracking system has operational limitations such sensors, complicated backgrounds, and uneven lighting condition. It also suffers from slow response time which is not proper for real-time applications. We propose a fast feature matching algorithm to track eyes for real-time purpose. The base of the proposed algorithm is to use ellipsoidal Hough transformation to detect face region within images followed by the detection of eye area by computing and segmenting a limited set of Haar-like features within the detected face region. To speed up the algorithm execution time, the algorithm uses motion estimation to limit the search area, reduction of the number of edge pixels using non-maximum edge suppression, limitation of scale factor using region-of-interest finder, and hierarchical processing. Detected eye location is fed into the 3-dimensional display system to properly show 3-dimentional images in real-time.
Keywords :
Hough transforms; edge detection; face recognition; image matching; image segmentation; 3-dimensional display system; Haar-like features; ellipsoidal Hough transformation; fast face detection algorithm; fast feature matching algorithm; hierarchical processing; nonmaximum edge suppression; real-time eye tracking; real-time pattern detection; region-of-interest finder; Computer vision; Delay; Displays; Eyes; Face detection; Image edge detection; Image segmentation; Motion estimation; Pattern matching; Sensor systems; Haar-like features; Hough Transform; edge detection; eye tracking; face detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-9-3
Electronic_ISBN :
978-89-93215-01-4
Type :
conf
DOI :
10.1109/ICCAS.2008.4694423
Filename :
4694423
Link To Document :
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