FAANet: feature-aligned attention network for real-time multiple object tracking in UAV videos

Zhenqi Liang; Jingshi Wang; Gang Xiao; Liu Zeng

doi:10.3788/COL202220.081101

Journals >Chinese Optics Letters >Volume 20 >Issue 8 >Page 081101 > Article

Chinese Optics Letters
Vol. 20, Issue 8, 081101 (2022)

FAANet: feature-aligned attention network for real-time multiple object tracking in UAV videos

Zhenqi Liang¹, Jingshi Wang^1、2, Gang Xiao^1、*, and Liu Zeng¹

Author Affiliations

¹School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China

²Jiangsu Automation Research Institute, Lianyungang 222061, China

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DOI: 10.3788/COL202220.081101 Cite this Article Set citation alerts

Zhenqi Liang, Jingshi Wang, Gang Xiao, Liu Zeng. FAANet: feature-aligned attention network for real-time multiple object tracking in UAV videos[J]. Chinese Optics Letters, 2022, 20(8): 081101 Copy Citation Text

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Zhenqi Liang, Jingshi Wang, Gang Xiao, Liu Zeng. FAANet: feature-aligned attention network for real-time multiple object tracking in UAV videos[J]. Chinese Optics Letters, 2022, 20(8): 081101

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