您当前的位置：
首页 >
文章列表页 >
Anti-UAV object tracking with enhanced backbone and feature rearrangement
Image Processing | 更新时间：2024-05-15
|

    • Anti-UAV object tracking with enhanced backbone and feature rearrangement

    • “针对无人机低空飞行和视频图像目标像素占比较小的问题，研究者提出了一种名为SiamAU的孪生神经网络目标跟踪算法。该算法在SiamRPN++的基础上，引入改进的主干网络和特征重排机制，通过加入ECA-Net注意力机制网络和改进激活函数，提升复杂背景下的特征表征能力。同时，算法还进行了浅层降维和深层特征融合，得到更适合无人机等小目标跟踪的改进深度融合特征。在DUT Anti-UAV数据集上的测试表明，SiamAU算法的成功率和精确率分别达到了60.5%和88.1%，相比基准算法提升了5.6%和8.1%。这一研究成果为反无人机任务中的目标跟踪提供了新的解决方案，有望为相关领域的研究开辟新方向。”
      ”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 4, Pages: 532-542(2024)

    • DOI：10.37188/CJLCD.2023-0150    

      CLC： TP391

    • Published：05 April 2024，

      Received：21 April 2023，

      Revised：05 May 2023，

    扫 描 看 全 文

  • ZHENG Binxi, YANG Zhigang, DING Yufeng. Anti-UAV object tracking with enhanced backbone and feature rearrangement. [J]. Chinese Journal of Liquid Crystals and Displays 39(4):532-542(2024) DOI： 10.37188/CJLCD.2023-0150.

  •  
  •  

0

Views

53

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

NCA-MobileNet： a lightweight facial expression recognition method
Method of vehicle license plate recognition in haze weather based on deep learning
X-ray weld defect detection method based on dense connection and multi-scale pooling
Object detection in foggy image based on Double-Head

Related Author

ZHENG Bin-xi
YANG Zhi-gang
DING Yu-feng
ZUO Yihai
BAI Wushang
HE Qiusheng
YANG Yun
WANG Jing

Related Institution

Engineering Training Center， Taiyuan Institute of Technology
School of Electronic Information Engineering， Taiyuan University of Science and Technology
School of Electronic Information and Artificial Intelligence， Shaanxi University of Science and Technology， Xi 'an
School of Electronic and Information Engineering， Xi 'an Technological University， Xi 'an
Development Planning Service， Xi 'an Technological University， Xi 'an
0