Robust GMPHD filter with adaptive target birth

QR Code

Robust GMPHD filter with adaptive target birth

© 2014 IEEE. Recently, the Gaussian Mixture Probability Hypothesis Density (GMPHD) filter has been studied as a popular method for multi-target tracking in clutter background. As an extended version, robust GMPHD filter, also known as the ?-GMPHD filter, was subsequently proposed to handle unknown c...

Full description

Bibliographic Details
Main Authors:	Ma, L., Wang, P., Xue, K., Kim, Du Yong
Format:	Conference Paper
Published:	2014
Online Access:	http://hdl.handle.net/20.500.11937/56402

Similar Items

Adaptive Target Birth Intensity for PHD and CPHD Filters
by: Ristic, B., et al.
Published: (2012)

Multi-target track before detect with labeled random finite set and adaptive correlation filtering
by: Kim, Du Yong
Published: (2017)

Robust auxiliary particle filter with an adaptive appearance model for visual tracking
by: Kim, Du Yong, et al.
Published: (2011)

Robust multi-Bernoulli filtering for visual tracking
by: Kim, Du Yong, et al.
Published: (2015)

Outlier rejection methods for robust Kalman filtering
by: Kim, Du Yong, et al.
Published: (2011)

CPHD filters for unknown clutter and target-birth processes
by: Mahler, Ronald
Published: (2014)

Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking
by: Kim, Du Yong, et al.
Published: (2015)

Robust distributed Kalman filter for wireless sensor networks with uncertain communication channels
by: Kim, Du Yong, et al.
Published: (2012)

Gaussian mixture PHD and CPHD filtering with partially uniform target birth
by: Beard, Michael, et al.
Published: (2012)

Robust Multi-target Tracking with Bootstrapped-GLMB Filter
by: Do, Cong-Thanh
Published: (2022)

Multi-Bernoulli filter for target tracking with multi-static Doppler only measurement
by: Liang, M., et al.
Published: (2015)

Spatio-temporal auxiliary particle filtering with l1-Norm- Based Appearance Model Learning for Robust Visual Tracking
by: Kim, Du Yong, et al.
Published: (2013)

A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering
by: Beard, Michael, et al.
Published: (2013)

Robust speech recognition using fusion techniques and adaptive filtering
by: Syed Mohamed, Syed Abdul Rahman Al-Haddad, et al.
Published: (2009)

Robust Adaptive Filtering Method for SINS/SAR Integrated Navigation System
by: Gao, S., et al.
Published: (2010)

Receding Horizon Estimation for Multi-Target Tracking via Random Finite Set Approach
by: Kim, Du Yong
Published: (2018)

Robust Multi-Bernoulli Filtering
by: Vo, Ba Tuong, et al.
Published: (2013)

Multiple speaker tracking with the GLMB filter
by: Kim, Du Yong, et al.
Published: (2017)

Multi-object tracking using hybrid observation in PHD filter
by: Yoon, J., et al.
Published: (2013)

A Combination of Classification Robust Adaptive Kalman Filter with PPP-RTK to Improve Fault Detection for Integrity Monitoring of Autonomous Vehicles
by: Elsayed, Hassan, et al.
Published: (2025)

Gaussian mixture importance sampling function for unscented SMC-PHD filter
by: Yoon, J., et al.
Published: (2013)

Square root receding horizon information filters for nonlinear dynamic system models
by: Kim, Du Yong, et al.
Published: (2013)

Data fusion of radar and image measurements for multi-object tracking via Kalman filtering
by: Kim, Du Yong, et al.
Published: (2014)

A Particle Multi-Target Tracker for Superpositional Measurements Using Labeled Random Finite Sets
by: Papi, Francesco, et al.
Published: (2015)

Measurement driven birth model for the generalized labeled multi-Bernoulli filter
by: Lin, S., et al.
Published: (2017)

Multi-object particle filter revisited
by: Kim, Du Yong, et al.
Published: (2017)

Efficient importance sampling function design for sequential Monte Carlo PHD filter
by: Hong Yoon, J., et al.
Published: (2012)

Generalizations of the auxiliary particle filter for multiple target tracking
by: Úbeda-Medina, L., et al.
Published: (2014)

Automated multi-target tracking with kinematic and non-kinematic information
by: Bae, S., et al.
Published: (2012)

A new hybrid method based on kalman filter and adaptive neural network for the robustness improvement of fault detection and identification process
by: Pebrianti, Dwi
Published: (2014)

Adaptive unscented Gaussian likelihood approximation filter
by: Garcia Fernandez, Angel, et al.
Published: (2015)

QR Decomposition For Adaptive Filtering Application
by: Okwonu, Friday Zinzendoff
Published: (2011)

Particle filter for extracting target label information when targets move in close proximity
by: Garcia Fernandez, Angel, et al.
Published: (2011)

Kalman filter based PLL robust against ionospheric scintillation
by: Susi, Melania, et al.
Published: (2014)

Robust multi-sensor generalized labeled multi-Bernoulli filter
by: Do, Cong-Thanh, et al.
Published: (2022)

Robust Filter Development to Pursue Robotic Localization and Mapping Problem
by: Hamzah, Ahmad, et al.
Published: (2011)

The Hybrid Simplified Kalman Filter for Adaptive Feedback Cancellation
by: Albu, F., et al.
Published: (2018)

Sequential multiple target detection using particle filters
by: Garcia Fernandez, Angel, et al.
Published: (2011)

On constraints exploitation for particle filtering based target tracking
by: Papi, Francesco, et al.
Published: (2012)

Reference tag supported RFID tracking using robust support vector regression and Kalman filter
by: Chai, J., et al.
Published: (2017)

Cannot write session to /tmp/vufind_sessions/sess_pu9d2isfvk5ofjpkm8a9gv79q3