• Acta Optica Sinica
  • Vol. 39, Issue 4, 0415004 (2019)
Changzhen Xiong*, Yan Lu**, and Jiaqing Yan
Author Affiliations
  • Beijing Key Laboratory of Urban Intelligent Control Technologies, North China University of Technology, Beijing 100144, China
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    DOI: 10.3788/AOS201939.0415004 Cite this Article Set citation alerts
    Changzhen Xiong, Yan Lu, Jiaqing Yan. Weighted Correlation Filter Tracking Algorithm Based on Context and Relocation[J]. Acta Optica Sinica, 2019, 39(4): 0415004 Copy Citation Text show less
    Overall framework of algorithm
    Fig. 1. Overall framework of algorithm
    Precision plots under different search area scales. (a) OTB-100; (b) Temple-color-128
    Fig. 2. Precision plots under different search area scales. (a) OTB-100; (b) Temple-color-128
    Precision and success plots of nine algorithms on OTB-100. (a) Precision curves; (b) success curves
    Fig. 3. Precision and success plots of nine algorithms on OTB-100. (a) Precision curves; (b) success curves
    Comparison of typical video tracking results. (a) Human3; (b) girl2; (c) soccer; (d) lemming
    Fig. 4. Comparison of typical video tracking results. (a) Human3; (b) girl2; (c) soccer; (d) lemming
    CNHOGAverage DP /%Average OP /%
    10.585.679.1
    11.085.778.2
    11.584.878.0
    12.086.880.3
    12.584.777.7
    Note: best results in table are in the fourth row, and results of the ECO-HC algorithm are in the second row.
    Table 1. Tracking results under different feature weights
    Magnification times of target size1.11.21.3
    Average CLE /pixel19.119.223.3
    Average DP /%88.588.386.9
    Average OP /%80.079.778.6
    Speed /(frame·s-1)65.265.064.8
    Table 2. Tracking results of three contextual features
    ECO-HCalgorithmAdaptive Newton iterationWeighted fusionMulti-scale search areaContextual featuresObject relocationAverage DP /%Average OP /%Speed /(frame·s-1)
    85.678.560.0
    85.678.566.8
    86.880.365.7
    87.780.465.8
    88.580.065.2
    89.280.665.2
    Table 3. Tracking results of each strategy added in turn
    ProposedalgorithmECO-HCalgorithmHCFTSCSR-DCFStapleLMCFD_LMCFSRDCFD_SRDCF
    Average CLE /pixel17.022.716.624.631.539.021.338.621.4
    Average DP /%89.285.687.079.978.478.985.978.985.1
    Average OP /%80.678.572.170.270.971.976.172.977.3
    Speed /(frame·s-1)65.260.06.06.526.465.56.93.00.2
    Table 4. Comparison results of 9 algorithms in OTB-100
    Changzhen Xiong, Yan Lu, Jiaqing Yan. Weighted Correlation Filter Tracking Algorithm Based on Context and Relocation[J]. Acta Optica Sinica, 2019, 39(4): 0415004
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