Bernoulli Particle/Box-Particle Filters for Detection and Tracking in the Presence of Triple Measurement Uncertainty

DOI10.1109/TSP.2012.2184538zbMath1393.94562OpenAlexW2008146045MaRDI QIDQ4573663

Amadou Gning, Lyudmila Mihaylova, Branko Ristic

Publication date: 18 July 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2012.2184538

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Bayesian inference (62F15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13) Non-Markovian processes: hypothesis testing (62M07)

Related Items (4)

Autonomous crowds tracking with box particle filtering and convolution particle filtering ⋮ A box regularized particle filter for state estimation with severely ambiguous and non-linear measurements ⋮ An improved Bernoulli particle filter for single target tracking ⋮ Novel Rao–Blackwellized jump Markov CBMeMBer filter for multi-target tracking

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