Moving target detection based on improved KAZE algorithm

LUO Yu; HUANG Yuqing; SHI Fanrong

doi:10.13873/J.1000-9787(2019)08-0126-03

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Moving target detection based on improved KAZE algorithm

更新时间：2025-09-11

- Moving target detection based on improved KAZE algorithm
- Issue 8, Pages: 126-128(2019)
- 作者机构：
  
  西南科技大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2019)08-0126-03
  CLC： TP391.41
- Published：2019
- 稿件说明：
移动端阅览
LUO Yu, HUANG Yuqing, SHI Fanrong. Moving target detection based on improved KAZE algorithm[J]. 2019, (8): 126-128.
DOI：

LUO Yu, HUANG Yuqing, SHI Fanrong. Moving target detection based on improved KAZE algorithm[J]. 2019, (8): 126-128. DOI： 10.13873/J.1000-9787(2019)08-0126-03.

摘要

针对KAZE算法特征提取速度慢以及移动目标检测效果差等问题

提出一种改进KAZE算法的移动目标检测算法。在原有KAZE算法基础上

对求解线性非尺度空间的迭代步长进行了重新修正;在特征匹配阶段

对特征点在相邻帧间位移进行求解后

用于背景估计。实验结果表明:改进后的算法加速了非线性尺度空间的求解

特征点提取速度提升了9. 3%

特征匹配率提升了1. 6%;用于无人机移动目标检测中

也取得了良好效果。

Abstract

Aiming at the problem of slow feature extraction speed of the KAZE algorithm and poor detection effect of moving targets

a moving target detection algorithm based on improved KAZE algorithm is proposed. On the basis of original KAZE algorithm

revise the iterative step size for solving the linear non-scale space

after solving the feature points displacement between adjacent frames in the feature matching stage for eliminating background. The experimental results show that the improved algorithm accelerates the solution of nonlinear scale space

extraction speed of the feature points is increased by 9. 3 %

and feature matching rate is improved by 1. 6 %. In moving targets detection of unmanned aerial vehicle（ UVA）

good effects are acquired.

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