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Target regression tracking based on convolutional neural network

机译：基于卷积神经网络的目标回归跟踪

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摘要

For visual tracking with UAV, the non-rigid body change of target usually results in the accumulation of errors and decline of tracking precision. In view of this problem, a target regression tracking algorithm based on convolutional neural network is proposed. Firstly, we use the Siamese convolutional neural network to extract features which used as the input of tracker based on self-adapted scale kernel correlation filters. Then, in order to cope with the cumulative errors caused by the change of target form, a target regression network is designed to refine the location. Using the refined location to extract sample and update the filter parameters of tracker can prevent tracker from being polluted. The experimental results show that the algorithm has high tracking precision as well as fast speed compared to the state-of-the-art tracking algorithms, especially with the ability to deal with the non-rigid body change of target.
机译：对于使用无人机进行视觉跟踪，目标的非刚体变化通常会导致误差累积和跟踪精度下降。针对这一问题，提出了一种基于卷积神经网络的目标回归跟踪算法。首先，我们使用暹罗卷积神经网络提取基于自适应尺度核相关滤波器的特征，将其用作跟踪器的输入。然后，为了应对由于目标形状变化而引起的累积误差，设计了目标回归网络以优化位置。使用精确的位置提取样本并更新跟踪器的过滤器参数可以防止跟踪器受到污染。实验结果表明，与最新的跟踪算法相比，该算法具有较高的跟踪精度和较快的速度，尤其具有处理目标非刚性物体变化的能力。

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  • 来源
    《Third International Workshop on Pattern Recognition》|2018年|108281G.1-108281G.6|共6页
  • 会议地点 Jinan(CN)
  • 作者

    Hongwei Zhang; Xiang Fan; Bin Zhu; Bo Xie; Qi Ma;

  • 作者单位

    State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei 230037 China;

    State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei 230037 China;

    State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei 230037 China;

    State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei 230037 China;

    State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei 230037 China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    visual tracking; convolutional neural network; kernel correlation filters; target regression; cumulative error;

    机译：视觉跟踪；卷积神经网络内核相关过滤器；目标回归累积误差;

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