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作者:

Wu, Qiang (Wu, Qiang.) | Zhao, JiaXiang (Zhao, JiaXiang.) | Zheng, Xin (Zheng, Xin.)

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EI

摘要:

With the development of unmanned aerial vehicle (UAV) technology, more and more unmanned aerial vehicles have entered various fields, including the aspect of moving target detection. Due to the characteristics of the drone, the captured video does not have a fixed background, which makes the traditional moving target detection algorithm unusable. Herein, this paper proposes a self-matching detection algorithm based on Gaussian mixture model and CSIFT. This algorithm is applied to unmanned On board, under the background of moving targets, the target can be identified when there is relative movement between the target and the background. © 2020 ACM.

关键词:

Aircraft detection Antennas Artificial intelligence Gaussian distribution Object recognition Signal detection Unmanned aerial vehicles (UAV)

作者机构:

  • [ 1 ] [Wu, Qiang]Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhao, JiaXiang]Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Zheng, Xin]Beijing University of Technology, Beijing; 100124, China

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年份: 2020

页码: 418-423

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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