Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181006(2020)

Interactive Behavior Recognition Based on Sparse Coding Feature Fusion

Jianjun Li, Yue Sun*, and Baohua Zhang
Author Affiliations
  • School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
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    Figures & Tables(14)
    Pixel gray value of 3×3 window
    Neighborhood of circular symmetry. (a) (1,8); (b) (1.5,12); (c) (2,16)
    Processing results of the two modes. (a) Gray image; (b) original LBP operator; (c) improved LBP operator
    Neighborhood of pixel point
    Adjacent pixel
    Edges extracted by different thresholds. (a) Depth image; (b) automatic threshold; (c) threshold range is [0.32,0.8]; (d) threshold range is [0.08,0.2]
    Specific steps of the ScSPM model
    Flow chart of our algorithm
    Recognition results of the CAD-60 dataset
    Recognition results of the MSR Action Pairs dataset
    Recognition results of the SBU Kinect interaction dataset
    • Table 1. Recognition rates of different algorithms (CAD-60 dataset)

      View table

      Table 1. Recognition rates of different algorithms (CAD-60 dataset)

      ReferenceRecognitionmethodRecognitionrate /%
      Ref. [16]Full tow-layer MEMM61.7
      Ref. [17]HMM82.3
      Ref. [18]CFt+RBF-SVM94.0
      OursS+ScSPM99.0
    • Table 2. Recognition rates of different algorithms (MSR Action Pairs dataset)

      View table

      Table 2. Recognition rates of different algorithms (MSR Action Pairs dataset)

      ReferenceRecognitionmethodRecognitionrate /%
      Ref. [19]skeleton+LOPskeleton+LOP+pyramid61.782.2
      Ref. [20]DMM66.1
      Ref. [21]HON4D93.3
      OursS+ScSPM93.1
    • Table 3. Recognition rates of different algorithms (SBU Kinect interaction dataset)

      View table

      Table 3. Recognition rates of different algorithms (SBU Kinect interaction dataset)

      ReferenceRecognitionmethodRecognitionrate /%
      Ref. [22]joint features+CFDM89.4
      Ref. [23]SVM+LCNN92.8
      Ref. [24]BOW+HOG92.5
      Ref. [25]motion feature+shape feature(depth)98.4
      OursS+ScSPM95.4
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    Jianjun Li, Yue Sun, Baohua Zhang. Interactive Behavior Recognition Based on Sparse Coding Feature Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181006

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    Paper Information

    Category: Image Processing

    Received: Dec. 11, 2019

    Accepted: Feb. 11, 2020

    Published Online: Sep. 2, 2020

    The Author Email: Sun Yue (sunyueya0526@163.com)

    DOI:10.3788/LOP57.181006

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