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Infrared and Laser Engineering, Volume. 49, Issue 11, 20200284(2020)

Tracking of dense group targets based on motion grouping

Lei Zhang1... Shuai Zhu2, Tianyu Liu2 and Yuehuan Wang2 |Show fewer author(s)
Author Affiliations
  • 1Beijing Institute of Surveying and Communication, Beijing 100089, China
  • 2School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (18)
    Equations (20)
    References (13)
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    Paper Information
    Topics
    Figures & Tables(18)
    Flowchart of the proposed algorithm

    Fig. 1. Flowchart of the proposed algorithm

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    Dividing dense target into sparse groups

    Fig. 2. Dividing dense target into sparse groups

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    Non-neighbor individuals in cluster motion

    Fig. 3. Non-neighbor individuals in cluster motion

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    Relationship between and 与路径长度规模关系图

    Fig. 4. Relationship between and 与路径长度规模 关系图

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    Relationship between and with regularization factor引入正则化因子后与路径长度规模关系图

    Fig. 5. Relationship between and with regularization factor 引入正则化因子后 与路径长度规模 关系图

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    Distribution of group target and extracted optical flow

    Fig. 6. Distribution of group target and extracted optical flow

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    Divided group result according to motion patten

    Fig. 7. Divided group result according to motion patten

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    Directed graph model for target group

    Fig. 8. Directed graph model for target group

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    Result of marked potential target in target group

    Fig. 9. Result of marked potential target in target group

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    Track of potential target in target group

    Fig. 10. Track of potential target in target group

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    Grouping performance comparison

    Fig. 11. Grouping performance comparison

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    Real-time performance comparison

    Fig. 12. Real-time performance comparison

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    • Table 1.

      Result of collectiveness matrix

      聚集度矩阵结果

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      Table 1.

      Result of collectiveness matrix

      聚集度矩阵结果

      Node1234…15
      10.0040.0260.039−0.27…−0.06
      20.0240.0120.0570.087…−0.05
      30.0360.0580.0110.004…−0.03
      4−0.010.0900.004−0.03…−0.05
      …………………
      15−0.03−0.06−0.08−0.03…0.011

    • Table 2.

      Result of adjacency matrix for directed graph

      有向图邻接矩阵结果

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      Table 2.

      Result of adjacency matrix for directed graph

      有向图邻接矩阵结果

      Node1234…15
      10000…0
      20010…0
      30000…0
      40100…0
      …………………
      150000…0

    • Table 3.

      Tracking result without interframe suppression false alarm

      未采用帧间虚警抑制跟踪结果

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      Table 3.

      Tracking result without interframe suppression false alarm

      未采用帧间虚警抑制跟踪结果

      DataFrame that does not meet condition 1Frame that does not meet condition 2Accuracy
      121,4,6,8,12,14,177,9,12,16,20,23,2757,61,6255,59,60,610.8460.831
      34,8,12,13,16,17,1852,59,600.846
      45,9,18,22,3131,40,45,550.861
      59,10,11,20,20,2644,49,630.877

    • Table 4.

      Tracking result with interframe suppression false alarm

      采用帧间虚警抑制跟踪结果

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      Table 4.

      Tracking result with interframe suppression false alarm

      采用帧间虚警抑制跟踪结果

      DataFrame that does not meet condition 1Frame that does not meet condition 2Accuracy
      121,4,6,8,147,9,12,16,2361,6259,60,610.8920.877
      312,13,16,17,1859,600.892
      45,3131, 45,550.923
      59,10,1136,49,630.907

    • Table 5. Dual suppression matrix 对偶抑制矩阵

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      Table 5. Dual suppression matrix 对偶抑制矩阵

      Node1234…15
      10.0020.0390.049−0.01…−0.05
      20.0360.0100.0570.022…−0.05
      30.0440.0520.0100.002…−0.02
      4-0.010.0200.004−0.02…−0.04
      …………………
      15−0.03−0.03−0.06−0.03…0.013

    • Table 6. Dual suppression matrix 对偶抑制矩阵

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      Table 6. Dual suppression matrix 对偶抑制矩阵

      Node1234…15
      10.0040.0520.049−0.02…−0.06
      20.0500.0120.0570.033…−0.07
      30.0460.0580.0160.002…−0.03
      4−0.010.0300.004−0.03…−0.05
      …………………
      15−0.03−0.04−0.07−0.04…0.019
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    Lei Zhang, Shuai Zhu, Tianyu Liu, Yuehuan Wang. Tracking of dense group targets based on motion grouping[J]. Infrared and Laser Engineering, 2020, 49(11): 20200284

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    Paper Information

    Category: Image processing

    Received: Jul. 14, 2020

    Accepted: --

    Published Online: Jan. 4, 2021

    The Author Email:

    DOI:10.3788/IRLA20200284

    Topics

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