中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Slight Aware Enhancement Transformer and Multiple Matching Network for Real-Time UAV Tracking

文献类型:期刊论文

作者A. P. Deng, G. L. Han, D. B. Chen, T. J. Ma and Z. C. Liu
刊名Remote Sensing
出版日期2023
卷号15期号:11页码:18
DOI10.3390/rs15112857
英文摘要Based on the versatility and effectiveness of the siamese neural network, the technology of unmanned aerial vehicle visual object tracking has found widespread application in various fields including military reconnaissance, intelligent transportation, and visual positioning. However, due to complex factors, such as occlusions, viewpoint changes, and interference from similar objects during UAV tracking, most existing siamese neural network trackers struggle to combine superior performance with efficiency. To tackle this challenge, this paper proposes a novel SiamSTM tracker that is based on Slight Aware Enhancement Transformer and Multiple matching networks for real-time UAV tracking. The SiamSTM leverages lightweight transformers to encode robust target appearance features while using the Multiple matching networks to fully perceive response map information and enhance the tracker's ability to distinguish between the target and background. The results are impressive: evaluation results based on three UAV tracking benchmarks showed superior speed and precision. Moreover, SiamSTM achieves over 35 FPS on NVIDIA Jetson AGX Xavier, which satisfies the real-time requirements in engineering.
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语种英语
源URL[http://ir.ciomp.ac.cn/handle/181722/67426]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
A. P. Deng, G. L. Han, D. B. Chen, T. J. Ma and Z. C. Liu. Slight Aware Enhancement Transformer and Multiple Matching Network for Real-Time UAV Tracking[J]. Remote Sensing,2023,15(11):18.
APA A. P. Deng, G. L. Han, D. B. Chen, T. J. Ma and Z. C. Liu.(2023).Slight Aware Enhancement Transformer and Multiple Matching Network for Real-Time UAV Tracking.Remote Sensing,15(11),18.
MLA A. P. Deng, G. L. Han, D. B. Chen, T. J. Ma and Z. C. Liu."Slight Aware Enhancement Transformer and Multiple Matching Network for Real-Time UAV Tracking".Remote Sensing 15.11(2023):18.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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