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基于多特征信息融合粒子滤波的红外目标跟踪

孙艳丽 周伟 李建海

现代电子技术2017,Vol.40Issue(13):9-12,4.
现代电子技术2017,Vol.40Issue(13):9-12,4.DOI:10.16652/j.issn.1004-373x.2017.13.003

基于多特征信息融合粒子滤波的红外目标跟踪

Infrared target tracking fusing particle filtering with multi-feature information

孙艳丽 1周伟 2李建海1

作者信息

  • 1. 海军航空工程学院 基础实验部,山东 烟台 264001
  • 2. 海军航空工程学院 信息融合研究所,山东 烟台 264001
  • 折叠

摘要

Abstract

Since the multi-feature information has perfect detection and adaptation performances,and the particle filtering is an effective method to process the nonlinear and non-Gaussian characteristics of the target tracking model. The advantages of the above items are combined to propose a tracking algorithm based on multi-feature information fusion for the characteristics of the infrared image. The target color and textural feature are adopted in the method to construct the model according to a certain weight coefficient. The model is fused to the frame of particle filtering. The experimental result shows that the tracking algorithm can track the maritime infrared moving target accurately.

关键词

粒子滤波/纹理特征/多特征融合/目标跟踪

Key words

particle filtering/textural feature/multi-feature fusion/target tracking

分类

信息技术与安全科学

引用本文复制引用

孙艳丽,周伟,李建海..基于多特征信息融合粒子滤波的红外目标跟踪[J].现代电子技术,2017,40(13):9-12,4.

基金项目

国家自然科学基金(61471382):MIMO阵列雷达海上微弱目标检测技术研究 (61471382)

现代电子技术

OA北大核心CSTPCD

1004-373X

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