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Volume 45 Issue 2
Feb.  2023
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ZHANG Fangfang, CAO Jiahui, WANG Haijing, ZHAO Pengbo. Anti-Occlusion Moving Target Tracking Algorithm Based on Multifeature Self-Adaptive Fusion[J]. Infrared Technology , 2023, 45(2): 150-160.
Citation: ZHANG Fangfang, CAO Jiahui, WANG Haijing, ZHAO Pengbo. Anti-Occlusion Moving Target Tracking Algorithm Based on Multifeature Self-Adaptive Fusion[J]. Infrared Technology , 2023, 45(2): 150-160.
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Anti-Occlusion Moving Target Tracking Algorithm Based on Multifeature Self-Adaptive Fusion

  • School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China

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  • Received Date: March 23, 2022
  • Revised Date: May 07, 2022
    Graphical Abstract
    • Abstract
  • In view of the current target tracking algorithm, it is difficult to effectively track the target when it is blurred or occluded; therefore, an anti-occlusion algorithm based on multi feature adaptive fusion is proposed in this study. First, the gradient direction histogram feature HOG and color histogram feature are extracted, and the correlation filtering response of the two features is adaptively fused to maximize the tracking quality. In the tracking process, a high-quality filter template is stored according to the quality of the response map, and the quality difference between the high-quality template and normal update template is used to detect the occlusion of the target. When the target occlusion disappears, the template of the tracker traces back to the high-quality template to retrack the target. According to the experimental results for OTB100 and UAV123, this algorithm has a better performance than other similar correlation filtering algorithms and can still track well in the case of target occlusion.
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    • References (18)
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