An Unmanned Aerial Vehicle Video Object Tracking Algorithm Based on Siamese Attention Network

Yuhuan Zheng, Dianwei Wang*, Pengfei Han, Xincheng Ren, Zhijie Xu

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

Unmanned Aerial Vehicle (UAV) has been widely used in military and civilian fields, and object tracking is one of the critical technologies in UAV application. For addressing deformation, occlusion, small object, and other UAV object tracking problems, an UAV video object tracking algorithm based on Siamese Attention Network (SANet) is proposed in this paper. Initially, we designed a lightweight network as an extractor to extract features. After that, the attention mechanism module is constructed to screen out the feature map's semantic attributes, and the corresponding weights are re-assigned to different channels and spatial features. Finally, three Regional Proposal Networks (RPNs) are introduced to hierarchical fusion to obtain the tracking results. Our proposed algorithm in this paper has experimented on the UAV123 dataset and self-built dataset. The results show that the algorithm has a good tracking effect, the average accuracy is improved to 0.815, and the success rate is 0.619.

Original languageEnglish
Title of host publicationAIPR 2021 - 2021 4th International Conference on Artificial Intelligence and Pattern Recognition
PublisherAssociation for Computing Machinery
Pages1-8
Number of pages8
ISBN (Electronic)9781450384087
DOIs
Publication statusPublished - 24 Sept 2021
Externally publishedYes
Event4th International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2021 - Virtual, Online, China
Duration: 17 Sept 202119 Sept 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2021
Country/TerritoryChina
CityVirtual, Online
Period17/09/2119/09/21

Keywords

  • Attention
  • Object tracking
  • Regional proposal networks
  • Siamese network
  • UAV video

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