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[会议论文]

Self-Matching Moving Target Detection Algorithm Based on Gaussian Mixture Model and CSIFT

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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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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Source :

Year: 2020

Page: 418-423

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

30 Days PV: 5

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