Study on UAV Video Reconnaissance Based Adaptively Tracking Algorithm for the Ground Moving Target

被引：0

作者：

Zhao, Wen-Bo ^{[1
]}

Chen, Wei ^{[1
]}

Zheng, Guang-Zheng ^{[1
]}

Huang, Ke-Ming ^{[1
]}

Zhao, Kong-Jin ^{[1
]}

Li, Yu-Ge ^{[1
]}

机构：

[1] New Star Res Inst Appl Technol, Hefei 230031, Peoples R China

来源：

ADVANCED INTELLIGENT COMPUTING | 2011年 / 6838卷

关键词：

UAV; Target tracking; Kalman filter; Interacting multiple model;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the problem of adaptive tracking for the Ground Moving Target (GMT) based on Unmanned Aerial Vehicle (UAV) reconnaissance video is addressed. More specifically, motion model and observation model of GMT are proposed, a novel Kalman Filter (KF) initialization strategy is introduced, and Interacting Multiple Model Kalman Filter (IMMKF) algorithm is adopted for tracking GMT purpose. Simulation results indicate the promising future of our proposed strategies on the area of moving target tracking domain compared to traditional methods.

引用

页码：282 / 289

页数：8