Laser & Optoelectronics Progress, Volume. 55, Issue 12, 121501(2018)

Fast Scale Adaptive Kernel Correlation Filtering Algorithm for Target Tracking

Xuedong He and Shengzong Zhou*
Author Affiliations
  • Fujian Institute of Research on the Structure, Chinese Academy of Sciences, Fuzhou, Fujian 350002, China
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    Figures & Tables(4)
    Precision and success rate of 26 sequences. (a) Precision of OPE; (b) precision of SRE; (c) precision of TRE; (d) success rate of OPE; (e) success rate of SRE; (f) success rate of TRE
    Tracking effect of KCF and FSAKCF on sequences of David, CarScale, and Dog1. (a) David, tracking frame number of 11; (b) David, tracking frame number of 149; (c) David, tracking frame number of 462; (d) CarScale, tracking frame number of 11; (e) CarScale, tracking frame number of 167; (f) CarScale, tracking frame number of 242; (g) Dog1, tracking frame number of 11; (h) Dog1, tracking frame number of 733; (i) Dog1, tracking frame number of 1290
    • Table 1. Frame numbers and sequence attributes of 26 tracking sequences

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      Table 1. Frame numbers and sequence attributes of 26 tracking sequences

      SequenceFramenumberAttribute
      Boy602SV, MB, FM, IPR, OPR
      Box1161IV, SV, OCC, MB, IPR,OPR, OV, BC, LR
      David471IV, SV, OCC, DEF,MB, IPR, OPR
      Car4659IV, SV
      ClifBar472SV, OCC, MB, FM,IPR, OV, BC
      CarScale252SV, OCC, FM, IPR, OPR
      Crossing120SV, DEF, FM, OPR, BC
      Dancer225SV, DEF, IPR, OPR
      Doll3872IV, SV, OCC, IPR, OPR
      Dog11350SV, IPR, OPR
      Dudek1145SV, OCC, DEF, FM,IPR, OPR, OV, BC
      FleetFace707SV, DEF, MB,FM, IPR, OPR
      Freeman1326SV, IPR, OPR
      Girl500SV, OCC, IPR, OPR
      Human8128IV, SV, DEF
      RedTeam1918SV, OCC, IPR, OPR, LR
      Singer2366IV, DEF, IPR, OPR, BC
      Skating 1400IV, SV, OCC, DEF, OPR, BC
      Singer1351IV, SV, OCC, OPR
      Surfer376SV, FM, IPR, OPR, LR
      Twinnings472SV, OPR
      Toy271SV, FM, IPR, OPR
      Vase271SV, FM, IPR
      Walking569SV, OCC, DEF
      Trellis120IV, SV, IPR, OPR, BC
      Walking2500SV, OCC, LR
    • Table 2. Characteristics of 9 tracking algorithms

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      Table 2. Characteristics of 9 tracking algorithms

      TrackingalgorithmCharacteristicScaleadaptation
      CSKgrayno
      CNgray, color namesno
      KCFHOGno
      DSSTgray, HOGyes
      SAMFgray, HOG, color namesyes
      KCFDPTHOG, color namesyes
      fDSSTgray, HOGyes
      FSAKCFHOGyes
      FSAKCF1HOGyes
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    Xuedong He, Shengzong Zhou. Fast Scale Adaptive Kernel Correlation Filtering Algorithm for Target Tracking[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121501

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    Paper Information

    Category: Machine Vision

    Received: Jun. 20, 2018

    Accepted: Jul. 5, 2018

    Published Online: Aug. 1, 2019

    The Author Email: Zhou Shengzong (zhousz@fjirsm.ac.cn)

    DOI:10.3788/LOP55.121501

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