DocumentCode :
682787
Title :
Multi target recognition based on SURF algorithm
Author :
Fengxu Guan ; Xiaolong Liu ; Weixing Feng ; Hongwei Mo
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Volume :
01
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
448
Lastpage :
453
Abstract :
In order to carry on multi target recognition quickly and effectively, according to the characteristics of SIFT, PCASIFT and SURF algorithm, a method of multi target recognition based on SURF algorithm and OpenCV is studied. The method includes multi angles recognition and multi targets recognition. Firstly, feature points were extracted single target or multiple targets by SURF algorithm, then storing feature of target in the database, Secondly traversal targets database in the process of image registration to recognize the target, Finally, a series of tests are make to evaluate the method. Experimental results show that SURF algorithm has better robustness for characteristics of two-dimensional for rotation, scale changes and occlusion. And the three-dimensional rotation targets and multiple targets are identified quickly and effectively.
Keywords :
feature extraction; image registration; object recognition; OpenCV; PCASIFT algorithm; SIFT algorithm; SURF algorithm; feature points extraction; image registration; multiangles recognition; multitarget recognition; occlusion characteristics; rotation characteristics; scale changes characteristics; scale invariant feature transform; speeded up robust features; storing feature; three-dimensional rotation targets; traversal targets database; Algorithm design and analysis; Computers; Databases; Feature extraction; Image recognition; Signal processing algorithms; Target recognition; SURF; multi angle recognition of single targets; multiple targets recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
Type :
conf
DOI :
10.1109/CISP.2013.6744036
Filename :
6744036
Link To Document :
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