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Filters
A Particle Filter Track-Before-Detect Algorithm Based on Hybrid Differential Evolution
2015
Algorithms
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In this paper, we address the problem of detecting and tracking targets with a low signal-to-noise ratio (SNR) by exploiting hybrid differential evolution (HDE) in the particle filter track-before-detect ...
Thirdly, we combine the systematic resampling approach to enhance the performance of the proposed algorithm. Then, an improved PF-TBD algorithm based on the HDE method is proposed. ...
Conclusions In this paper, a novel particle filter track-before-detect algorithm based on hybrid differential evolution was developed. ...
doi:10.3390/a8040965
fatcat:e7rifsxm55enfhdikzvrtrsmce
Particle Filter and Visual Tracking: a Hybrid Resampling approach to improving robustness in cluttered and occluded environments
2016
Learning and Nonlinear Models
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In order to increase robustness in such situations this article presents a method for visual tracking using a Particle Filter with Hybrid Resampling. ...
Our approach consists of using a particle filter to estimate the state of the tracked object, and both particles' inertia and update information are used in the resampling stage. ...
Methodologies for motion detection based on differential techniques can be modified to perform object tracking in a sequence of images [6] . ...
doi:10.21528/lnlm-vol14-no2-art1
fatcat:4jqdgbfk6nf6bjhpyem4ssgnva
An evolutionary computation based algorithm for calculating solar differential rotation by automatic tracking of coronal bright points
2016
Journal of Space Weather and Space Climate
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Further, it exploits the flexibility and efficiency of Particle Swarm Optimization (PSO), a stochastic population based optimization algorithm. ...
In this paper a prototype of a modular framework for solar feature detection, characterization, and tracking is presented. ...
This work was partially supported by Grants SFRH/BPD/44018/2008 (I.D.) and SFRH/BD/ 62249/2009 (E.S.) from Fundação para a Ciência e a Tecnologia (FCT), MCTES, Portugal, and by FCT Strategic Program UID ...
doi:10.1051/swsc/2016010
fatcat:qnfuo5aambgtxl5agrl6whiyfy
Tracking-by-detection of multiple persons by a resample-move particle filter
2013
Machine Vision and Applications
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Based on these insights, this paper presents a particle filter for multiple person tracking designed for an FPGA-based smart camera. ...
We propose a new joint Markov Chain Monte Carlo-based particle filter (MCMC-PF) with short Markov chains, devoted to each individual particle, in order to sample the particle swarm in relevant regions ...
Section 4 recalls some basic concepts about PF and MCMC-based methods; it then depicts our hybrid MCMC-based particle filtering framework. ...
doi:10.1007/s00138-013-0534-9
fatcat:xrharjvbsvegzpgfme2z4pxphq
Collaborative Differential Evolution Filtering for Tracking Hand-Object Interactions
2020
IEEE Access
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Based on the proposed CoDEF algorithm, we develop a model-based tracking system with 3D graphic techniques. ...
The proposed CoDEF algorithm integrates the differential evolution (DE) algorithm into a particle filtering (PF) framework to accelerate the convergence of particles. ...
CoDEF integrates the differential evolution (DE) algorithm into a particle filtering (PF) framework. ...
doi:10.1109/access.2020.3015834
fatcat:tzwqyutlobbbxgc5tjvhdi2hkq
Application of the Particle Filter to Tracking of Fish in Aquaculture Research
2008
2008 Digital Image Computing: Techniques and Applications
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The system is based on the particle filter tracking algorithm augmented by an adaptive partition scheme and using a Global Nearest Neighbour approach for data association. ...
In this paper we describe a tracking system which can automatically detect and track two fish in a video sequence in a small aquaculture tank. ...
They include the Kernel Particle Filter [13] and the more recent hybrid colour particle filter [14] which originates from the track-before-detect concept [6] . ...
doi:10.1109/dicta.2008.28
dblp:conf/dicta/PinkiewiczWP08
fatcat:bdvizapfvvesddzpjuos6t2liu
Taking Aim at Moving Targets in Computational Cell Migration
2016
Trends in Cell Biology
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A major driver in the advance of cell migration research has been the evolution of instrumentation (microscopes and cameras) and the corresponding development of experimental tools and biological models ...
This review therefore primarily focuses on the quantification of cell migration in in vitro setups, while we refer the reader to specific literature on in vivo work [19] [20] [21] [22] [23] . ...
Many of the proposed particle filters for cell tracking in video sequences rely on a single feature. ...
doi:10.1016/j.tcb.2015.09.003
pmid:26481052
fatcat:yi6aghqtybfmxl3iznz6yhwyoq
Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs
2012
2012 IEEE Congress on Evolutionary Computation
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This paper presents a cellular genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The evolution process is inspired by a basic genetic algorithm. ...
The population evolves on a bidimensional grid and is implicitly organized in geographical clusters that present a form of structural similarity between individuals. ...
Particle Swarm Optimisation for Feature Selection A Filter Based Approach 233, Mitchell Yuwono, Steven W. ...
doi:10.1109/cec.2012.6256590
dblp:conf/cec/RotaruB12
fatcat:4ly3nrktw5habc6lf5err7d5py
OKPS: A Reactive/Cooperative Multi-Sensors Data Fusion Approach Designed for Robust Vehicle Localization
2016
Positioning
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The OKPS is compared to the EKF filter and to filters using particles (PF and SPF) on real data from our equipped vehicle. ...
The OKPS filter innovates by fitting its particles with a capacity of self-diagnose by means of the EKF covariance uncertainty matrix. ...
Uncertainties of the evolution model A. R. Ahmed Bacha et al.7
Figure 3 . 3 SPF algorithm based on PF/PSO hybridization. A. R. Ahmed Bacha et al.9
Figure 4 . 4 OKPS algorithm. ...
doi:10.4236/pos.2016.71001
fatcat:hlbnnliohfbotgo7wchc3bqfdu
Robust nanomanipulation control based on laser beam feedback
2014
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems
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To overcome this problem, the Particle Filter (PF) algorithm is used to estimate the position of laser beam. ...
The main idea is to guide and track the beam with a hybrid micro/nanomanipulator which is driven by a control signal generated by processing the beam intensity sensed by a four-quadrant photodiode. ...
Then, efficient robust algorithms are proposed to track the handling position variations due to beam exposition (electrostatic forces, Brownian motion, scattering) based on the Particle Filter (PF) algorithm ...
doi:10.1109/iros.2014.6943226
dblp:conf/iros/AmariFF14
fatcat:273y5py2crfxtorncrhqadgz3a
Robust Tracking Using Particle Filter with a Hybrid Feature
2012
IEICE transactions on information and systems
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using a hybrid feature-based observation model in a particle filtering framework. ...
Xinyue ZHAO †a) , Yutaka SATOH † †b) , Hidenori TAKAUJI † † †c) , Nonmembers, and Shun'ichi KANEKO †d) , Member SUMMARY This paper presents a novel method for robust object tracking in video sequences ...
Related Works
Tracking Algorithms In this section we focus on various observation models and techniques for object tracking based on particle filter. ...
doi:10.1587/transinf.e95.d.646
fatcat:76rtbh43h5delg2htfkjijyhny
Stochastic Systems 2014
2015
Mathematical Problems in Engineering
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This special issue is focused on the stochastic-control systems and their applications to stability, control, filtering, communication, and fault detection. ...
differential game, and (v) applications of stochastic-control theory to finance, economics, fault detection, and so forth. ...
As the Lead Guest Editor of this special issue, I would like to express my sincere gratitude to my five coeditors for helping me to undertake this project with a wonderful accomplishment. ...
doi:10.1155/2015/210630
fatcat:pbytk4dnvve6vcppytnv4xeokm
Conditional Monte Carlo Dense Occupancy Tracker
2015
2015 IEEE 18th International Conference on Intelligent Transportation Systems
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An alternative to a classic object model framework is the occupancy grid filtering domain. ...
The most common approaches involve the modeling of moving objects, through Detection And Tracking of Moving Objects (DATMO) methods. ...
A Bayesian filtering methodology, based on a prediction/correction loop is used to filter the grid and estimate a velocity probability distribution for each cell, in the form of a neighbourhood transition ...
doi:10.1109/itsc.2015.400
dblp:conf/itsc/RummelhardNL15
fatcat:k3qzqcxpgjafzbu4drnunjuyxi
Particle observers for state estimation and adaptation in deterministic systems with random piecewise constant inputs
2018
2018 IEEE Conference on Decision and Control (CDC)
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Godsill for useful discussions, while the first author was visiting the University of Cambridge as a fellow of Sidney Sussex College. ...
Based on this approach to modeling the tracking task, S. ...
This way, we obtain a hybrid filter which is able to detect the jumps, and to reconverge to the true state between jumps. ...
doi:10.1109/cdc.2018.8619296
dblp:conf/cdc/BonnabelS18
fatcat:rywzcspwtzdlnalmubqnvu2hmy
Flexible joint parameters identification method based on improved tracking differentiator and adaptive differential evolution
2022
Review of Scientific Instruments
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Then, a hybrid tracking differentiator based on an improved Sigmoid function is designed to track the differential signals of joint motion parameters, and the Lyapunov function is designed to prove its ...
Finally, a feedforward control structure based on identification is designed to compensate for the model deviation. ...
Future research should further improve the convergence accuracy and speed of the identification algorithm and study the tracking differentiator with finite time convergence ability. ...
doi:10.1063/5.0099485
pmid:36050089
fatcat:wk2w64f6rfezrn2kxwzrm577d4
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