Acta Optica Sinica, Volume. 37, Issue 8, 0815003(2017)

Robust Visual Tracking Based on Convolutional Neural Networks and Conformal Predictor

Lin Gao1、*, Junfeng Wang2, Yong Fan1, and Niannian Chen1
Author Affiliations
  • 1 School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, Sichuan 621010, China
  • 2 College of Computer Science, Sichuan University, Chengdu, Sichuan 610065, China
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    Figures & Tables(7)
    Flow chart of tracking algorithm
    Structure of CNN
    Tracking results of video sequences. (a) FaceOcc1; (b) Bolt; (c) Football; (d) CarDark
    Center position error of tracking results. (a) FaceOcc1; (b) Bolt; (c) Football; (d) CarDark
    Coverage rate of tracking results. (a) FaceOcc1; (b) Bolt; (c) Football; (d) CarDark
    One-pass evaluation. (a) Positional accuracy diagram; (b) coverage success rate diagram
    • Table 1. Average center position error and coverage rate

      View table

      Table 1. Average center position error and coverage rate

      SequenceVTSLOTStruckMILKCFProposed algorithm (no CP)Proposed algorithm
      Football13.27(0.51)9.23(0.54)13.33(0.53)12.55(0.58)14.60(0.55)6.73(0.66)5.36(0.68)
      FaceOcc127.42(0.57)34.22(0.40)24.50(0.63)34.86(0.54)15.98(0.75)14.29(0.73)20.43(0.70)
      CarDark23.45(0.45)37.43(0.26)3.42(0.75)45.69(0.15)6.05(0.61)10.54(0.39)3.04(0.74)
      Bolt197.53(0.02)13.18(0.45)360.19(0.01)387.04(0.01)6.37(0.68)33.25(0.22)8.65(0.65)
      Total average65.41(0.39)23.52(0.41)100.36(0.48)120.03(0.32)10.75(0.65)16.20(0.50)9.37(0.69)
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    Lin Gao, Junfeng Wang, Yong Fan, Niannian Chen. Robust Visual Tracking Based on Convolutional Neural Networks and Conformal Predictor[J]. Acta Optica Sinica, 2017, 37(8): 0815003

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    Paper Information

    Category: Machine Vision

    Received: Feb. 24, 2017

    Accepted: --

    Published Online: Sep. 7, 2018

    The Author Email: Gao Lin (gaolinscu@163.com)

    DOI:10.3788/AOS201737.0815003

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