Particle Filtering
Autonomous crowds tracking with box particle filtering and convolution particle filtering
... box particle filtering approach and with a convolution particle filtering ...box particle filter (PF) we derive a theoretical expression of the generalised likelihood function in the ...
15
A defensive marginal particle filtering method for data assimilation
... Abstract The Particle filtering (PF) method is often used to estimate the states of dynamical systems in a Bayesian framework. A major limitation of the standard PF method is that the dimensionality of the ...
19
Joint target tracking and classification with particle filtering and mixture Kalman filtering using kinematic radar information
... (MM) particle filter and a mixture Kalman filter (MKF) are designed for two-class identification of air targets: commercial and military ...the particle filtering and mixture Kalman filtering ...
30
Integrating the Projective Transform with Particle Filtering for Visual Tracking
... projective particle filter, a Bayesian filtering technique integrating the projective transform, which describes the distortion of vehicle trajectories on the camera ...the particle filtering ...
11
Freeway traffic estimation within particle filtering framework
... of particle filtering framework. A particle filter (PF) is developed based on a recently proposed speed-extended cell-transmission model of freeway ...the particle filter with the Unscented ...
9
Tracking Video Target via Particle Filtering on Manifold
... popular particle filter algorithm in video target tracking is ...of particle filtering is ...the particle degradation problem, and improve the tracking accuracy and robustness of the ...the ...
7
Mobility Tracking in Cellular Networks Using Particle Filtering
... improving particle filtering by analytically marginalising some of the variables (linear, Gaussian) from the joint posterior ...the particle filter is used to approximate this ...
11
Contour segmentation in 2D ultrasound medical images with particle filtering
... A robust particle filtering algorithm for contour follow- ing is developed in [30]. The potential of this algorithm (called JetStream) is demonstrated in the context of the interactive cut-out in ...
12
Parallelized particle filtering for freeway traffic state tracking
... parallelized particle filters for state tracking (estimation) of freeway traffic ...networks. Particle filters can accurately solve the state estimation problem for general nonlinear systems with ...
8
Contour Tracking in 2D Images Using Particle Filtering
... A robust particle filtering algorithm for contour following is developed in [1]. The potential of this algorithm (called JetStream) is demonstrated in the context of the interactive cut-out in photo- ...
5
A Particle Filtering Approach to Change Detection for Nonlinear Systems
... simulation-based filtering, now known by many differ- ent names such as particle filtering (PAF) [7, 8], the con- densation algorithm [9], the sequential Monte Carlo (SMC) method [10], and Bayesian ...
11
Particle Filtering Equalization Method for a Satellite Communication Channel
... The paper is organized as follows. Firstly, models for the emitted signal, the TWT amplification stage, and the other parts of the transmission chain are introduced in Section 2. A procedure for estimating the emitted ...
13
Fast, parallel implementation of particle filtering on the GPU architecture
... We investigated [13-15] from CUDA ZONE, which also addresses particle filtering on GPU or parallel and GPU. In [15], only the weight calculation is performed on the GPU as the focus of this paper is not ...
16
Algorithm of Particle Filtering of Recognition in Visual Aided Navigation
... Abstract – The particle filtering algorithm is developed to increase the accuracy of extreme Bayesian recognition. The unified meta template (image of ground surface) is represented in the form of SURF ...
8
Inferring Parameters of Gene Regulatory Networks via Particle Filtering
... In this paper, we studied the problem of estimating reaction rates in a gene regulatory network modeled by a chemical Langevin equation, that is, a high-dimensional stochastic di ff erential equation. We proposed a ...
9
State Space Modelling Using Particle Filtering
... equation. Particle filtering algorithm is applied to this set of equations in order to eliminate the problems regarding non-linear and non-gaussian ...the particle filtering algorithm which ...
5
A quantitative approach to behavioural analysis of drivers in highways using particle filtering
... The analysis of driving behaviour is a challenging task in the transport field that has numerous applications, ranging from highway design to micro-simulation and the development of advanced driver assistance systems ...
34
Brief paper: Freeway traffic estimation within particle filtering framework
... of particle filtering framework. A particle filter (PF) is developed based on a recently proposed speed-extended cell-transmission model of freeway ...the particle filter with the Unscented ...
8
A quantitative approach to behavioural analysis of drivers in highways using particle filtering
... In this paper the possibility of utilising unscented particle filtering for a purpose beyond simple demonstration of variations in model parameters is investigated. Herein, the main research question is the ...
13
Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications
... the Particle Transfer Algorithm (PTA), which takes advantage of the cluster architecture and outper- forms significantly existing ...of particle filtering for realistic practical ...
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