DocumentCode :
2116295
Title :
A binocular vision tracking method based on Gabor filter
Author :
Jin, Wenjun ; Luo, Jun ; Xu, Yuanyu ; Li, Lei ; Li, Hengyu ; Xie, Shaorong
Author_Institution :
Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
fYear :
2012
fDate :
21-23 April 2012
Firstpage :
8
Lastpage :
12
Abstract :
To solve the stability and rapidity problem of visual tracking, the paper presents a method that the characteristic points in sequenced images assemblies for target is collected by the Gabor filter, and turned into matching templates. The detection with the Sobel operator is used to get initial points position, to determine each initial point parameter, and in this way we can speed up optimizing for parameters. The experimental result has been verified that the arithmetic is with highly reliability and availability, it can avoid the affection by target feature collecting from background, so the method has the benefit to the real time binocular tracking.
Keywords :
Gabor filters; computer vision; feature extraction; image matching; image sequences; object tracking; Gabor filter; Sobel operator; binocular vision tracking method; computer vision field; image processing; image sequences; target feature; template matching; Cameras; Feature extraction; Gabor filters; Image edge detection; Information filters; Target tracking; Cabor filter; binocular vision; tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
Type :
conf
DOI :
10.1109/CECNet.2012.6201605
Filename :
6201605
Link To Document :
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