Results 21 to 30 of about 241,859 (276)
Covariance Tracking via Geometric Particle Filtering
EURASIP Journal on Advances in Signal Processing, 2010 Region covariance descriptor recently proposed has been approved robust and elegant to describe a region of interest, which has been applied to visual tracking.
Yunpeng Liu, Guangwei Li, Zelin Shi
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A rank correlation coefficient based particle filter to estimate parameters in non-linear models
International Journal of Distributed Sensor Networks, 2019 Particle filtering algorithm has found an increasingly wide utilization in many fields at present, especially in non-linear and non-Gaussian situations. Because of the particle degeneracy limitation, various resampling methods have been researched.
Qingxu Meng, Kaicheng Li
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An Improved Particle Filtering Algorithm and Its Application in Multipath Estimation [PDF]
Jisuanji gongcheng, 2017 Aiming at the problem of particle depletion in traditional Particle Filtering(PF),a PF algorithm based on Adaptive Differential Evolution(ADE) is proposed.The ADE algorithm instead of the re-sampling strategy is used to generate new particles in PF,which
WANG Zhiyuan,CHENG Lan,XIE Gang
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Particle-filtering approaches for nonlinear Bayesian decoding of neuronal spike trains [PDF]
, 2018 The number of neurons that can be simultaneously recorded doubles every seven years. This ever increasing number of recorded neurons opens up the possibility to address new questions and extract higher dimensional stimuli from the recordings.
Kutschireiter, Anna +1 more
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Particle Filtering: The Need for Speed
EURASIP Journal on Advances in Signal Processing, 2010 The particle filter(PF) has during the last decade been proposed for a wide range of localization and tracking applications. There is a general need in such embedded system to have a platform for efficient and scalable implementation of the PF.
Karlsson Rickard +2 more
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Face Tracking and Recognition with the Use of Particle-Filtered Local Features
Journal of Telecommunications and Information Technology, 2023 A consistent particle filtering-based framework for the purpose of parallel face tracking and recognition from video sequences is proposed. A novel approach to defining randomized, particle filtering-driven local face features for the purpose of ...
Łukasz A. Stasiak, Andrzej Pacut
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The Hitchhiker's Guide to Nonlinear Filtering [PDF]
, 2019 Nonlinear filtering is the problem of online estimation of a dynamic hidden variable from incoming data and has vast applications in different fields, ranging from engineering, machine learning, economic science and natural sciences.
Kutschireiter, Anna +2 more
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Particle Filtering With Invertible Particle Flow [PDF]
IEEE Transactions on Signal Processing, 2017 A key challenge when designing particle filters in high-dimensional state spaces is the construction of a proposal distribution that is close to the posterior distribution. Recent advances in particle flow filters provide a promising avenue to avoid weight degeneracy; particles drawn from the prior distribution are migrated in the state-space to the ...
Li, Yunpeng, Coates, Mark
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Particle filtering in high-dimensional chaotic systems
, 2012 We present an efficient particle filtering algorithm for multiscale systems, that is adapted for simple atmospheric dynamics models which are inherently chaotic.
Bryson A. E. +6 more
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Can local particle filters beat the curse of dimensionality?
, 2015 The discovery of particle filtering methods has enabled the use of nonlinear filtering in a wide array of applications. Unfortunately, the approximation error of particle filters typically grows exponentially in the dimension of the underlying model ...
Rebeschini, Patrick, van Handel, Ramon
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