Multiple-model Rao-Blackwellized particle probability hypothesis density filter for multitarget tracking

Bo Li

doi:10.1007/s12555-014-0148-7

ScienceGate Book Chapters

JOURNAL ARTICLE

Multiple-model Rao-Blackwellized particle probability hypothesis density filter for multitarget tracking

Bo Li

Year: 2015 Journal: International Journal of Control Automation and Systems Vol: 13 (2)Pages: 426-433 Publisher: Springer Science+Business Media

DOI: 10.1007/s12555-014-0148-7

Get Full-Text PDF Get Analytical Report

Keywords:

Particle filter Tracking (education) Kalman filter Monte Carlo method Computer science Filter (signal processing) Ensemble Kalman filter Nonlinear system Monte Carlo localization Extended Kalman filter Auxiliary particle filter State (computer science) Control theory (sociology) Algorithm Mathematics Artificial intelligence Statistics Computer vision Physics

Metrics

Cited By

2.20

FWCI (Field Weighted Citation Impact)

Refs

0.94

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

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multiple-model Rao-Blackwellized particle probability hypothesis density filter for multitarget tracking

Metrics

Citation History

Topics

Related Documents

Multiple-model Rao-Blackwellized particle CPHD filter for multitarget tracking

Multiple model Rao-Blackwellized particle filter

Multiple Model Rao-Blackwellized Particle Filter for Manoeuvring Target Tracking

Rao-Blackwellized particle filter for multiple target tracking

Probability hypothesis density filter for multitarget multisensor tracking