Towards Improved Observation Models for Visual Tracking: Selective Adaptation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Signal Processing - Signal processing in communications
Information fusion for wireless sensor networks: Methods, models, and classifications
ACM Computing Surveys (CSUR)
Brief paper: Bayesian estimation via sequential Monte Carlo sampling-Constrained dynamic systems
Automatica (Journal of IFAC)
Analysis of parallelizable resampling algorithms for particle filtering
Signal Processing
Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications
Journal of Mathematical Imaging and Vision
EURASIP Journal on Applied Signal Processing
A new class of particle filters for random dynamic systems with unknown statistics
EURASIP Journal on Applied Signal Processing
Information fusion in wireless sensor networks
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Correlation-based particle filter for 3D object tracking
Integrated Computer-Aided Engineering
Asynchronous distributed PF algorithm for WSN target tracking
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Monte Carlo sampling methods for approximating interactive POMDPs
Journal of Artificial Intelligence Research
Variable resolution particle filter
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Robust video stabilization based on particle filter tracking of projected camera motion
IEEE Transactions on Circuits and Systems for Video Technology
Using a-priori information to improve the accuracy of indoor dynamic localization
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
A Bayesian approach to joint tracking and identification of geometric shapes in video sequences
Image and Vision Computing
IEEE Transactions on Information Theory
Node localization during power adjustment in wireless sensor networks
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Efficient particle filtering using RANSAC with application to 3D face tracking
Image and Vision Computing
Using the Particle Filter Approach to Building Partial Correspondences Between Shapes
International Journal of Computer Vision
The role of Bayesian bounds in comparing SLAM algorithms performance
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
An ant stochastic decision based particle filter and its convergence
Signal Processing
Restarting particle filters: an approach to improve the performance of dynamic indoor localization
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Distributed scalable multi-target tracking with a wireless sensor network
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
DAGS: distribution agnostic sequential Monte Carlo scheme for task execution time estimation
Proceedings of the Conference on Design, Automation and Test in Europe
Extended Kalman and Particle Filtering for sensor fusion in motion control of mobile robots
Mathematics and Computers in Simulation
Information, Divergence and Risk for Binary Experiments
The Journal of Machine Learning Research
IFTrace: Video segmentation of deformable objects using the Image Foresting Transform
Computer Vision and Image Understanding
Stochastic global optimization as a filtering problem
Journal of Computational Physics
Learning for multi-view 3d tracking in the context of particle filters
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Support vector machine adaptive control of nonlinear systems
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Sequential support vector machine control of nonlinear systems by state feedback
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Tracking level set representation driven by a stochastic dynamics
Proceedings of the 7th international conference on Curves and Surfaces
Nonlinear Kalman Filters and Particle Filters for integrated navigation of unmanned aerial vehicles
Robotics and Autonomous Systems
Multisensor data fusion: A review of the state-of-the-art
Information Fusion
Temporal sampling issues in discrete nonlinear filtering
Automatica (Journal of IFAC)
Saturated Particle Filter: Almost sure convergence and improved resampling
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Improving particle filter with better proposal distribution for nonlinear filtering problems
WASA'13 Proceedings of the 8th international conference on Wireless Algorithms, Systems, and Applications
Adaptive approximation of higher order posterior statistics
Journal of Computational Physics
Optimal SIR algorithm vs. fully adapted auxiliary particle filter: a non asymptotic analysis
Statistics and Computing
| Hi-index | 35.76 |
Optimal filtering problems are ubiquitous in signal processing and related fields. Except for a restricted class of models, the optimal filter does not admit a closed-form expression. Particle filtering methods are a set of flexible and powerful sequential Monte Carlo methods designed to. solve the optimal filtering problem numerically. The posterior distribution of the state is approximated by a large set of Dirac-delta masses (samples/particles) that evolve randomly in time according to the dynamics of the model and the observations. The particles are interacting; thus, classical limit theorems relying on statistically independent samples do not apply. In this paper, our aim is to present a survey of convergence results on this class of methods to make them accessible to practitioners