• 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