Optics and Precision Engineering, Volume. 30, Issue 10, 1228(2022)

A multivariate information aggregation method for crowd density estimation and counting

Guanghui LIU1、*, Qinmeng WANG1, Xuanrun CHEN1,2, and Yuebo MENG1
Author Affiliations
  • 1School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an70055, China
  • 2Zhongke Xingtu Spatial Data Technology Co., Ltd., Xi'an710199, China
  • show less
    Figures & Tables(18)
    Network structure of efficient multi-semantic spatial information aggregation crowd density estimation
    Efficient multi-semantic feature extraction network
    Execution results of MSS and SE
    Multi-scale context information aggregation network
    Calculate process of atrous convolution with rate 2
    Execution result of atrous convolution with rate 2
    Calculation process of step size convolution
    Experimental results of ShanghaiTech
    Experimental results of UCF-QNRF
    Experimental results of NWP
    Multiscale features captured by S1-ASPP、S2-ASPP
    Detection results in high-density crowd gathering scenes
    Results of detecting big events
    • Table 1. Comparison of performance index results of multiple algorithm on ShanghaiTech

      View table
      View in Article

      Table 1. Comparison of performance index results of multiple algorithm on ShanghaiTech

      MethodPart_APart_B
      MAEMSEMAEMSE
      MCNN16110.2173.226.441.3
      Switch-CNN1790.4135.021.633.4
      CSRNet1968.2115.010.616.0
      DUBNet2664.6106.87.712.5
      CAN2162.31007.812.2
      FF-CAM2271.0109.810.315.8
      HLMMNet23--8.113.2
      Ours59.496.27.711.9
    • Table 2. Comparison of performance index results of multiple algorithms in UCF-QNRF

      View table
      View in Article

      Table 2. Comparison of performance index results of multiple algorithms in UCF-QNRF

      MethodMAEMSE
      MCNN16277426
      Switch-CNN17228445
      CAN21107183
      DUBNet26105.6180.5
      SFCN28102.0171.4
      FF-CAM22114.5200.5
      Ours89.3164.5
    • Table 3. Comparison of performance index results of multiple algorithms in the NWPU

      View table
      View in Article

      Table 3. Comparison of performance index results of multiple algorithms in the NWPU

      MethodValTest
      MAEMSEMAEMSE
      MCNN16218.5700.6232.5714.6
      CSRNet19104.8433.4121.3387.8
      CAN2193.5489.9106.3386.5
      SFCN2895.4608.3105.4424.1
      BL3093.6470.3105.4454.2
      HLMMNet2389.3431.2103.0433.2
      Ours87.9417.2101.2418.5
    • Table 4. Ablation results of MIE

      View table
      View in Article

      Table 4. Ablation results of MIE

      MethodValTest
      MAEMSEMAEMSE
      Ours(without MIE)91.9461.2110.3470.8
      Ours (with MSS)90.2448.3107.9455.7
      Ours (with SE)90.7450.2109.7459.4
      Ours(with MSS and SE)87.9417.2101.2418.5
    • Table 5. Results of MCIA ablation experiment, model size and algorithm speed

      View table
      View in Article

      Table 5. Results of MCIA ablation experiment, model size and algorithm speed

      MethodValTest

      Model

      size/MB

      Average running

      speed of test image /s

      MAEMSEMAEMSE
      MCNN16218.5700.6232.5714.619.22.8
      CSRNet19104.8433.4121.3387.816.22.1
      MDPMIF2389.5451.9108.0459.321.42.3
      HLMMNet2389.3431.2103.0433.228.72.6
      Ours (空洞卷积)87.5416.9100.7418.327.32.5
      Ours (步长卷积)87.9417.2101.2418.514.21.9
      Ours (步长卷积单S-ASPP)89.6427.0110.8437.813.41.7
    Tools

    Get Citation

    Copy Citation Text

    Guanghui LIU, Qinmeng WANG, Xuanrun CHEN, Yuebo MENG. A multivariate information aggregation method for crowd density estimation and counting[J]. Optics and Precision Engineering, 2022, 30(10): 1228

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Information Sciences

    Received: Jan. 19, 2022

    Accepted: --

    Published Online: Jun. 1, 2022

    The Author Email: LIU Guanghui (guanghuil@163.com)

    DOI:10.37188/OPE.20223010.1228

    Topics