Ground Moving Target Tracking with VS-IMM Using Mean Shift Unscented Particle Filter

Gao Caicai; Wei Chen

doi:10.1016/s1000-9361(11)60073-3

ScienceGate Book Chapters

JOURNAL ARTICLE

Ground Moving Target Tracking with VS-IMM Using Mean Shift Unscented Particle Filter

Gao Caicai Wei Chen

Year: 2011 Journal: Chinese Journal of Aeronautics Vol: 24 (5)Pages: 622-630 Publisher: Elsevier BV

DOI: 10.1016/s1000-9361(11)60073-3

Get Full-Text PDF Get Analytical Report

Keywords:

Particle filter Mean squared error Tracking (education) Control theory (sociology) Terrain Radar Track (disk drive) Filter (signal processing) Kalman filter Computer science Algorithm Engineering Mathematics Computer vision Artificial intelligence Statistics Telecommunications Geography

Metrics

Cited By

1.96

FWCI (Field Weighted Citation Impact)

Refs

0.88

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Distributed Sensor Networks and Detection Algorithms

Physical Sciences → Computer Science → Computer Networks and Communications

Ground Moving Target Tracking with VS-IMM Using Mean Shift Unscented Particle Filter

Metrics

Citation History

Topics

Related Documents

Ground moving target tracking with VS-IMM particle filter based on road information

A Novel IMM Filter for VideoSAR Ground Moving Target Tracking

An unscented particle filter for ground maneuvering target tracking

A Moving Target Tracking Method Based on Particle Filter and Mean-shift

Target Tracking Using a Mean-Shift Occlusion Aware Particle Filter