DocumentCode :
2316436
Title :
An efficient visual tracking method based on single CCD camera
Author :
Kai Han ; Wang, Xuan ; Yu, Chenglong
Author_Institution :
Comput. Applic. Rearch Center, Harbin Inst. of Technol. Shenzhen Grad. Sch., Shenzhen, China
Volume :
3
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
1163
Lastpage :
1168
Abstract :
Most of the existing visual tracking methods require users to wear some related equipments or fix heads. It is not convenient to use and the accuracy is not high. The method proposed in this paper is based on digital image processing technology and geometry transform. The trouble of wearing related equipments is avoided. At the same time, this method can get higher tracking accuracy and meet the requirement of instantaneity. The 3D space problem will be switched to a 2D image when the real-time human eye image is captured. Pupil-corneal reflection principle is utilized to get auxiliary parameters. A quick eye positioning method based on gray level is suggested in this paper. A cycle elliptic fitting method used is suggested to locate the pupil center. The existing space mapping method based on projective geometry principle is simplified. The experiment was done in the lab. Four accurate crass-ratio parameters were achieved, and the gazing point estimation got relatively high precision.
Keywords :
CCD image sensors; geometry; iris recognition; object tracking; 2D image; 3D space problem; CCD camera; crass-ratio parameters; cycle elliptic fitting method; digital image processing technology; gazing point estimation; geometry transform; gray level quick eye positioning method; projective geometry principle; pupil center; pupil-corneal reflection principle; quick eye positioning method; real-time human eye image; space mapping method; tracking accuracy; visual tracking method; Abstracts; Cameras; Geometry transform; Quick eye positioning; Space mapping; Visual tracking method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6359520
Filename :
6359520
Link To Document :
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