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Laser & Optoelectronics Progress, Volume. 58, Issue 20, 2010021(2021)

Crowd Density Estimation Method Based on Multi-Feature Information Fusion

Yuebo Meng1,2, Xuanrun Chen1, Guanghui Liu1、*, and Shengjun Xu1,2
Author Affiliations
  • 1College of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
  • 2Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou), Guangzhou, Guangdong 510000, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (13)
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    References (37)
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    Figures & Tables(13)
    Perspective structure of spatial attention

    Fig. 1. Perspective structure of spatial attention

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    Multi-scale information aggregation structure

    Fig. 2. Multi-scale information aggregation structure

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    Asymmetric convolution structure

    Fig. 3. Asymmetric convolution structure

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    Diagram of feature fusion process

    Fig. 4. Diagram of feature fusion process

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    Structural diagram of semantic embedding and feature fusion

    Fig. 5. Structural diagram of semantic embedding and feature fusion

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    Structural diagram of multi-feature information fusion network

    Fig. 6. Structural diagram of multi-feature information fusion network

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    Flow chart of multi-feature information fusion network algorithm

    Fig. 7. Flow chart of multi-feature information fusion network algorithm

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    Experimental results in ShanghaiTech dataset. (a) Original graphs; (b) true-value graphs; (c) prediction results

    Fig. 8. Experimental results in ShanghaiTech dataset. (a) Original graphs; (b) true-value graphs; (c) prediction results

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    Experimental results in Mall dataset. (a) Original graphs; (b) true-value graphs; (c) prediction results

    Fig. 9. Experimental results in Mall dataset. (a) Original graphs; (b) true-value graphs; (c) prediction results

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    • Table 1. Performance comparison among algorithms for ShanghaiTech dataset

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      Table 1. Performance comparison among algorithms for ShanghaiTech dataset

      MethodPart_APart_B
      MAEMSEMAEMSE
      Algorithm in Ref.[33]181.8277.732.049.8
      MCNN[24]110.2173.226.441.3
      Switch-CNN[34]90.4135.021.633.4
      MSCNN[35]83.8127.417.730.2
      CSRNet[7]68.2115.010.616.0
      SANet[36]67.0104.58.413.6
      Proposed algorithm63.2102.88.012.8

    • Table 2. Performance comparison among algorithms for Mall dataset

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      Table 2. Performance comparison among algorithms for Mall dataset

      MethodMAEMSE
      Algorithm in Ref. [33]3.1515.7
      MCNN[24]2.217.33
      Switch-CNN[34]2.016.25
      MSCNN[35]2.127.04
      DecideNet[37]1.521.90
      Proposed algorithm1.431.72

    • Table 3. Performance comparison among algorithms for Worldexpo’10 dataset

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      Table 3. Performance comparison among algorithms for Worldexpo’10 dataset

      MethodS1S2S3S4S5Average MAE
      MCNN[24]3.420.612.913.08.111.6
      MSCNN[35]7.815.414.911.85.811.7
      Switch-CNN[34]4.415.710.011.05.99.4
      DecideNet[37]2.013.148.917.44.759.23
      CSRNet[7]2.911.58.616.63.48.6
      Proposed algorithm2.611.28.914.23.68.1

    • Table 4. Comparative analysis of algorithm complexity

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      Table 4. Comparative analysis of algorithm complexity

      MethodSize /MBAverage running speed of test image /s
      ShanghaiTechMallWorldexpo’10
      Algorithm in Ref. [33]7.12.360.321.22
      MCNN[24]19.22.310.321.15
      Switch-CNN[34]32.22.710.431.35
      MSCNN[35]22.22.340.321.14
      CSRNet[7]16.261.970.260.93
      Proposed algorithm (MSIA)17.392.110.291.02
      Proposed algorithm ( MSIA+PSA)21.42.320.311.11
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    Yuebo Meng, Xuanrun Chen, Guanghui Liu, Shengjun Xu. Crowd Density Estimation Method Based on Multi-Feature Information Fusion[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2010021

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    Paper Information

    Category: Image Processing

    Received: Mar. 4, 2021

    Accepted: Mar. 23, 2021

    Published Online: Oct. 14, 2021

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

    DOI:10.3788/LOP202158.2010021

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology