The Gaussian Mixture Probability Hypothesis Density Filter
From MaRDI portal
Publication:4588005
DOI10.1109/TSP.2006.881190zbMath1374.94614MaRDI QIDQ4588005
No author found.
Publication date: 30 October 2017
Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)
Related Items (34)
Micro-object motion tracking based on the probability hypothesis density particle tracker ⋮ Particle probability hypothesis density filter based on pairwise Markov chains ⋮ Design of Gaussian approximate filter and smoother for nonlinear systems with correlated noises at one epoch apart ⋮ Multi-target state-estimation technique for the particle probability hypothesis density filter ⋮ GM-PHD filter combined with track-estimate association and numerical interpolation ⋮ Multi-target PHD tracking and classification using imprecise likelihoods ⋮ Game-theoretical occlusion handling for multi-target visual tracking ⋮ Packet loss detection in networked control systems ⋮ Gaussian mixture probability hypothesis density filter with dynamic probabilities: application to road traffic surveillance ⋮ GM-PHD Filter with State-Dependent Clutter ⋮ On the sensor order in sequential integrated probability data association filter ⋮ Convolution kernels implementation of cardinalized probability hypothesis density filter ⋮ Fading Unscented–Extended Kalman Filter for Multiple Targets Tracking with Symmetric Equations of Nonlinear Measurements ⋮ Iterative mixture component pruning algorithm for Gaussian mixture PHD filter ⋮ Sensor management for multi-target tracking via multi-Bernoulli filtering ⋮ A Bayesian approach to track multiple extended targets using particle filter for nonlinear system ⋮ Multi-target identity management with decentralized optimal sensor scheduling ⋮ Multitarget tracking by improved particle filter based on \(H_\infty\) unscented transform ⋮ Modified likelihood Kalman filter for systems with incomplete, delayed and lost measurements ⋮ A linear multisensor PHD filters via the measurement product space ⋮ Second-order multi-object filtering with target interaction using determinantal point processes ⋮ Convergence results for the Gaussian mixture implementation of the extended-target PHD filter and its extended Kalman filtering approximation ⋮ Gaussian mixture PHD filter for jump Markov models based on best-fitting Gaussian approximation ⋮ On LQG control design for network systems with/without acknowledgments using a particle filtering technology ⋮ Bayesian filter for nonlinear systems with randomly delayed and lost measurements ⋮ GM-PHD Filter With Signal Features Of Emitter ⋮ Variational Bayesian based adaptive PDA filter in scenarios with unknown detection probability and heavy-tailed process noise ⋮ Multi-target identity management for unknown and time-varying number of targets in clutter ⋮ Calibrating the Gaussian multi-target tracking model ⋮ Identification of MultiObject Dynamical Systems: Consistency and Fisher Information ⋮ Gaussian mixture CPHD filter with gating technique ⋮ On the Stability and the Approximation of Branching Distribution Flows, with Applications to Nonlinear Multiple Target Filtering ⋮ Localization of multiple emitters based on the sequential PHD filter ⋮ Extended target shape estimation by fitting B-spline curve
This page was built for publication: The Gaussian Mixture Probability Hypothesis Density Filter