State Estimation of Infrared Target using Particle Filter

被引：0

作者：

Chen, Zidu ^{[1
]}

Liu, Xiaoming ^{[1
]}

Chen, Wanchun ^{[1
]}

Zhou, Tao ^{[1
]}

机构：

[1] Beihang Univ, Sch Astronaut, Beijing 100191, Peoples R China

来源：

2016 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2016年

基金：

中国国家自然科学基金;

关键词：

TRACKING;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A filtering algorithm for estimating the position of a moving target using information collected by multiple imaging sensors is presented. Based on camera model and theory of particle filter, state transition model and observation model are set up. Weights threshold is proposed to solve the real-time tracking problem in occlusion issue. The experimental positioning system has been set up to test the algorithm, and the results show that the algorithm is effective in tracking moving target. The estimation error in position of the proposed algorithm is within 0.0082m in tracking stationary target and 0.01m for moving target. State estimation based on PF keeps stable in occlusion condition and is much better than Kalman filter (KF) and extended Kalman filter (EKF) which have large volatility. The experiments results show that the algorithm has good precision and anti-interference performance.

引用

页码：2399 / 2405

页数：7

共 18 条

[1] A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].

Arulampalam, MS ;

Maskell, S ;

Gordon, N ;

Clapp, T .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (02) :174-188

[2] Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera [J].

Breitenstein, Michael D. ;

Reichlin, Fabian ;

Leibe, Bastian ;

Koller-Meier, Esther ;

Van Gool, Luc .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2011, 33 (09) :1820-1833

[3]

Cheng J, 2006, J INFRARED MILLIM W, V25, P113

[4]

Hough M. E., 2011, J GUIDANCE CONTROL D, V24, P991

[5]

Jing Zhongliang, 2005, CONTROL DECISION, V04

[6]

Lih Y., 1999, AEROSPACE C, V4, P177

[7] Multisensor Fusion for 3D Target Tracking Using Track-Before-Detect Particle Filter [J].

Moshtagh, Nima ;

Romberg, Paul M. ;

Chan, Moses W. .

SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXIV, 2015, 9474

[8] Maritime Traffic Monitoring Based on Vessel Detection, Tracking, State Estimation, and Trajectory Prediction [J].

Perera, Lokukaluge P. ;

Oliveira, Paulo ;

Soares, C. Guedes .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2012, 13 (03) :1188-1200

[9]

Ralph Jason F., 2005, P SPIE INT SOC OPTIC, P5809

[10] Target tracking for missile warning applications [J].

Smith, MI ;

Heather, JP ;

Ralph, JF ;

Bernhardt, M ;

Griffith, EJ ;

Bradley, DJ ;

Padda, HS .

SIGNAL AND DATA PROCESSING OF SMALL TARGETS 2004, 2004, 5428 :282-293

← 1 2 →