Cited By
View all- Wei YHong TFang C(2022)Research on Information Fusion of Computer Vision and Radar Signals in UAV Target IdentificationDiscrete Dynamics in Nature and Society10.1155/2022/38982772022:1Online publication date: 19-Jul-2022
An Unmanned Aerial Vehicle Detection Algorithm Based on Semantic Segmentation and Visual Attention Mechanism
Pages 309 - 313
Abstract
Combined with semantic segmentation and visual attention mechanism, a new method for UAV detection in complex background is presented. The semantic segmentation of target image, which is implemented by Mask R-CNN, is used to exclude invalid regions. Then the processes of small target detection based on visual attention mechanism is built. This method is used to detecting the position of UAV in the sky. The effectiveness of algorithm proposed in this paper is proved by a large number of experiments.
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Index Terms
- An Unmanned Aerial Vehicle Detection Algorithm Based on Semantic Segmentation and Visual Attention Mechanism
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Published In
December 2018
641 pages
ISBN:9781450366069
DOI:10.1145/3297156
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- Shenzhen University: Shenzhen University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 08 December 2018
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CSAI '18
CSAI '18: 2018 2nd International Conference on Computer Science and Artificial Intelligence
December 8 - 10, 2018
Shenzhen, China
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View all- Wei YHong TFang C(2022)Research on Information Fusion of Computer Vision and Radar Signals in UAV Target IdentificationDiscrete Dynamics in Nature and Society10.1155/2022/38982772022:1Online publication date: 19-Jul-2022
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