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Tesi sul tema "Particle filter"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Cao, Hui. "Smoothed Particle Filter." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2005. http://hdl.handle.net/2237/10425.

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Morzfeld, Matthias, Daniel Hodyss, and Chris Snyder. "What the collapse of the ensemble Kalman filter tells us about particle filters." TAYLOR & FRANCIS LTD, 2017. http://hdl.handle.net/10150/623125.

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The ensemble Kalman filter (EnKF) is a reliable data assimilation tool for high-dimensional meteorological problems. On the other hand, the EnKF can be interpreted as a particle filter, and particle filters (PF) collapse in high-dimensional problems. We explain that these seemingly contradictory statements offer insights about how PF function in certain high-dimensional problems, and in particular support recent efforts in meteorology to 'localize' particle filters, i.e. to restrict the influence of an observation to its neighbourhood.

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Rane, Nikhil. "Isomap tracking with particle filter." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1181252052/.

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4

Xia, Gongyi. "Particle Swarm Optimization and Particle Filter Applied to Object Tracking." Thesis, North Dakota State University, 2016. https://hdl.handle.net/10365/27610.

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The particle filter is usually used as a tracking algorithm in non-linear under the Bayesian tracking framework. However, the problems of degeneracy and impoverishment degrade its performance. The particle filter is thereafter enhanced by evolutionary optimization, in particular, Particle Swarm Optimization (PSO) is used in this thesis due to its capability of optimizing non-linear problems. In this thesis, the PSO enhanced particle filter is reviewed followed by an analysis of its drawbacks. Then, a novel sampling mechanism for the particle filter is proposed. This method generates particles

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5

Gebart, Joakim. "GPU Implementation of the Particle Filter." Thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94190.

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This thesis work analyses the obstacles faced when adapting the particle filtering algorithm to run on massively parallel compute architectures. Graphics processing units are one example of massively parallel compute architectures which allow for the developer to distribute computational load over hundreds or thousands of processor cores. This thesis studies an implementation written for NVIDIA GeForce GPUs, yielding varying speed ups, up to 3000% in some cases, when compared to the equivalent algorithm performed on CPU. The particle filter, also known in the literature as sequential Monte-Car

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6

Käll, Viktor, and Erik Piscator. "Particle Filter Bridge Interpolation in GANs." Thesis, KTH, Matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301733.

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Generative adversarial networks (GANs), a type of generative modeling framework, has received much attention in the past few years since they were discovered for their capacity to recover complex high-dimensional data distributions. These provide a compressed representation of the data where all but the essential features of a sample is extracted, subsequently inducing a similarity measure on the space of data. This similarity measure gives rise to the possibility of interpolating in the data which has been done successfully in the past. Herein we propose a new stochastic interpolation method

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7

Johansson, Henrik. "Road-constrained target tracking using particle filter." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11562.

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<p>In this work a particle filter (PF) that uses a one-dimensional dynamic model to estimate the position of vehicles traveling on a road is derived. The dynamic model used in the PF is a second order linear-Gaussian model. To be able to track targets traveling both on and off road two different multiple model filters are proposed. One of the filters is a modified version of the Efficient Interacting Multiple Model (E-IMM) and the other is a version of the Multiple Likelihood Models (MLM). Both of the filters uses two modes, one for the on road motion and one for the off road motion. The E-IMM

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8

Tonetto, Leonardo. "A Particle Filter approach to GPS signals." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177320.

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Localization systems nowadays are extensively used by a growing number of mobile devices, such as smartphones and tablets integrated with various applications, and their use for traditional purposes such as navigation and geodesy have pushed the development of new techniques and improved algorithms. The combination of multiple techniques is the most common approach. Global Navigation Satellite Systems, such as GPS are well known and established localization systems that have great accuracy but are limited to locations where the strength of the signal is good. Therefore a new approach that coul

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9

Raveendran, Palanivel. "Mechanisms of particle detachment during filter backwashing." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/18989.

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10

Watson, Paul David Julian. "Geotextile filter design and particle bridge formation." Thesis, Queen Mary, University of London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307520.

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11

AIUBE, FERNANDO ANTONIO LUCENA. "MODELLING COMMODITY FUTURE PRICES: PARTICLE FILTER APPROACH." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7604@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>A evolução dos conhecimentos em Finanças nas últimas três décadas foi rápido e vertiginoso. Hoje os mercados financeiros oferecem produtos sofisticados para investidores e empresas, e por outro lado, tais agentes demandam instrumentos confiáveis para atender suas necessidades em busca de maiores retornos e menores riscos. Todo esse desenvolvimento baseia-se fundamentalmente em metodologias de apreçamento de ativos. Grande parte deste conhecimento é oriundo dos trabalhos pioneiros de Black e Scholes (1973) e Merton (1973). Em síntese,

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12

Lindmark, Sofia. "Cell Tracking in Microscopy Images Using a Rao-Blackwellized Particle Filter." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-236769.

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Analysing migrating cells in microscopy time-lapse images has already helped the understanding of many biological processes and may be of importance in the development of new medical treatments. Today’s biological experiments tend to produce a huge amount of dynamic image data and tracking the individual cells by hand has become a bottleneck for the further analysis work. A number of cell tracking methods have therefore been developed over the past decades, but still many of the techniques have a limited performance. The aim of this Master Project is to develop a particle filter algorithm that

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13

Dalin, Magnus, and Stina Måhl. "Radar Distance Positioning System : A Particle Filter Approach." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9475.

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<p>Abstract</p><p>Positioning at sea has been important through all times. Thousands of years ago sea men used the stars to navigate. Today GPS is the most used positioning system at sea. In this thesis an alternative positioning method is described and evaluated. The advantage with the method is that it is independent of external systems which make it harder to interfere with than GPS. By calculating the distance to land using radar echoes (measured from the ship), and compare the distances to a digital sea chart a position can be estimated. There are several problems that have to be solved w

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14

Velmurugan, Rajbabu. "Implementation Strategies for Particle Filter based Target Tracking." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14611.

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This thesis contributes new algorithms and implementations for particle filter-based target tracking. From an algorithmic perspective, modifications that improve a batch-based acoustic direction-of-arrival (DOA), multi-target, particle filter tracker are presented. The main improvements are reduced execution time and increased robustness to target maneuvers. The key feature of the batch-based tracker is an image template-matching approach that handles data association and clutter in measurements. The particle filter tracker is compared to an extended Kalman filter~(EKF) and a Laplacian filter

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15

Arslan, Ali Erkin. "Range Parameterized Bearings-only Tracking Using Particle Filter." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614888/index.pdf.

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In this study, accurate target tracking for bearings-only tracking problem is investigated. A new tracking filter for this nonlinear problem is designed where both range parameterization and Rao-Blackwellized (marginalized) particle filtering techniques are used in a Gaussian mixture formulation to track both constant velocity and maneuvering targets. The idea of using target turn rate in the state equation in such a way that marginalization is possible is elaborated. Addition to nonlinear nature, unobservability is a major problem of bearings-only tracking. Observer trajectory generation to i

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16

Harris, Peter Richard. "Particle capture from liquid streams by filter papers." Thesis, University of Exeter, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393537.

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17

Raghuvanshi, Anurag. "Particle filter with Hyperbolic Measurements and Geometry Constraints." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1366724596.

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18

Bradley, Justin Mathew. "Particle Filter Based Mosaicking for Forest Fire Tracking." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2001.pdf.

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19

Alam, Syed Asad. "Techniques for Efficient Implementation of FIR and Particle Filtering." Doctoral thesis, Linköpings universitet, Datorteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-124195.

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FIR filters occupy a central place many signal processing applications which either alter the shape, frequency or the sampling frequency of the signal. FIR filters are used because of their stability and possibility to have linear-phase but require a high filter order to achieve the same magnitude specifications as compared to IIR filters. Depending on the size of the required transition bandwidth the filter order can range from tens to hundreds to even thousands. Since the implementation of the filters in digital domain requires multipliers and adders, high filter orders translate to a large

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20

Karlsson, Rickard. "Particle filtering for positioning and tracking applications /." Linköping : Dept. of Electrical Engineering, Univ, 2005. http://www.bibl.liu.se/liupubl/disp/disp2005/tek924s.pdf.

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21

Hektor, Tomas. "Marginalized Particle Filter for Aircraft Navigation in 3-D." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10193.

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<p>In this thesis Sequential Monte Carlo filters, or particle filters, applied to aircraft navigation is considered. This report consists of two parts. The first part is an illustration of the theory behind this thesis project. The second and most important part evaluates the algorithm by using real flight data.</p><p>Navigation is about determining one's own position, orientation and velocity. The sensor fusion studied combines data from an inertial navigation system (INS) with measurements of the ground elevation below in order to form a terrain aided positioning system (TAP). The ground ele

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22

Yamashita, Hiroshi, Shingo Satake, and Kazuhiro Yamamoto. "Microstructure and particle-laden flow in diesel particulate filter." Elsevier, 2009. http://hdl.handle.net/2237/20047.

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23

Hosseini, Seyed Alireza. "MODELING PARTICLE FILTRATION AND CAKING IN FIBROUS FILTER MEDIA." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/2530.

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This study is aimed at developing modeling methodologies for simulating the flow of air and aerosol particles through fibrous filter media made up of micro- or nano-fibers. The study also deals with modeling particle deposition (due to Brownian diffusion, interception, and inertial impaction) and particle cake formation, on or inside fibrous filters. By computing the air flow field and the trajectory of airborne particles in 3-D virtual geometries that resemble the internal microstructure of fibrous filter media, pressure drop and collection efficiency of micro- or nano-fiber filters are simul

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24

Mlích, Jozef. "Sledování objektů ve videosekvencích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235922.

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In this master thesis, image processing methods and methods for statistical modeling of motion are presented. First, description methods of image processing, such as background subtraction method used for object detection, are presented. Next, description of morphological operations, such as dilatation and erosion, is done. Finally, methods for statistical modeling, such as Kalman filter and particle filters, are shown.

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25

Losie, Philip M. "Detection and Tracking of Stealthy Targets Using Particle Filters." DigitalCommons@CalPoly, 2009. https://digitalcommons.calpoly.edu/theses/227.

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In recent years, the particle filter has gained prominence in the area of target tracking because it is robust to non-linear target motion and non-Gaussian additive noise. Traditional track filters, such as the Kalman filter, have been well studied for linear tracking applications, but perform poorly for non-linear applications. The particle filter has been shown to perform well in non-linear applications. The particle filter method is computationally intensive and advances in processor speed and computational power have allowed this method to be implemented in real-time tracking application

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26

Varas, González David. "Region-based particle filter leveraged with a hierarchical co-clustering." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/404443.

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In this thesis, we exploit the hierarchical information associated with images to tackle two fundamental problems of computer vision: video object segmentation and video segmentation. In the first part of the thesis, we present a video object segmentation approach that extends the well knonw particle filter algorithm to a region-based image representation. Image partition is considered part of the particle filter measurement, which enriches the available information and leads to a reformulation of the particle filter theory. We define particles as unions of regions in the current image partit

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27

Ludington, Ben T. "Particle filter tracking architecture for use onboard unmanned aerial vehilces." Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-11142006-152845/.

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Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2007.<br>Vachtsevanos, George, Committee Chair ; Heck, Bonnie, Committee Member ; Vela, Patricio, Committee Member ; Yezi, Anthony, Committee Member ; Johnson, Eric, Committee Member.

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Ludington, Ben T. "Particle Filter Tracking Architecture for use Onboard Unmanned Aerial Vehicles." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/13967.

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Unmanned Aerial Vehicles (UAVs) are capable of placing sensors at unique vantage points without endangering a pilot. Therefore, they are well suited to perform target tracking missions. However, performing the mission can be burdensome for the operator. To track a target, the operator must estimate the position of the target from the incoming video stream, update the orientation of the camera, and move the vehicle to an appropriate vantage point. The purpose of the research in this thesis is to provide a target tracking system that performs these tasks automatically in real-time. The firs

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29

Eriksson, Simon. "Map-aided localization for autonomous driving using a particle filter." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280812.

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Vehicles losing their GPS signal is a considerable issue for autonomous vehicles and can be a danger to people in their vicinity. To circumvent this issue, a particle filter localization technique using pre-generated offline Open Street Map (OSM) maps was investigated in a software simulation of Scania’s heavy-duty trucks. The localization technique runs in real-time and provides a way to localize the vehicle safely if the starting position is known. Access to global localization was limited, and the particle filter still succeeded in localizing the vehicle in the vicinity of the correct road

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Manuelli, Lucas Ph D. Massachusetts Institute of Technology. "Localizing external contact using proprioceptive sensors : the contact particle filter." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115739.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 61-65).<br>In order for robots to interact safely and intelligently with their environment they must be able to reliably estimate and localize external contacts. This paper introduces the CPF, the Contact Particle Filter, which is a general algorithm for detecting and localizing external contacts on rigid body robots without the need for external sensing. The CPF finds external contact points

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31

Frykman, Petter. "Applied particle filters in integrated aircraft navigation." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1736.

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<p>Navigation is about knowing your own position, orientation and velocity relative to some geographic entities. The sensor fusion considered in this thesis combines data from a dead reckoning system, inertial navigation system (INS), and measurements of the ground elevation. The very fast dynamics of aircraft navigation makes it difficult to estimate the true states. Instead the algorithm studied will estimate the errors of the INS and compensate for them. A height database is used along with the measurements. The height database is highly non-linear why a Rao-Blackwellized particle filter is

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32

Aghakarimi, Armin. "Local Modeling Of The Ionospheric Vertical Total Electron Content (vtec) Using Particle Filter." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614867/index.pdf.

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ABSTRACT LOCAL MODELING OF THE IONOSPHERIC VERTICAL TOTAL ELECTRON CONTENT (VTEC) USING PARTICLE FILTER Aghakarimi, Armin M.Sc., Department of Geodetic and Geographic Information Technologies Supervisor: Prof. Dr. Mahmut Onur Karslioglu September 2012, 98 pages Ionosphere modeling is an important field of current studies because of its influences on the propagation of the electromagnetic signals. Among the various methods of obtaining ionospheric information, Global Positioning System (GPS) is the most prominent one because of extensive stations distributed all over the world. There are

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33

Vafai, Fereydoon. "Analytical modelling and laboratory studies of particle transport in filter media." Online version, 1996. http://bibpurl.oclc.org/web/23534.

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Eng, Donald S. "State estimation for a holonomic omniwheel robot using a particle filter." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61159.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 62).<br>The holonomic robot platform designed for the Opera of the Future must perform continuously on stage in a 10 meter by 20 meter world for one hour. The robot interacts with twelve other robots, stage elements, and human performers. Fast, accurate, and continuous state estimation for robot pose is a critical component for robots to safely perform on stage in front of a live audience. A cust

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Li, Yi-Lun, and 李翊綸. "Hand Tracking Using Particle Filter." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/22763283377365156879.

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碩士<br>華梵大學<br>資訊管理學系碩士班<br>96<br>In this thesis, a system for tracking hands without markers in complex scenes has been developed. Study of particle filters and CONDENSATION, and for the tracking system in hand . Particle filter is used to predict the center position of the hand, the hand template matching is used to track a hand, and the CONDENSATION (CONditional DENSity PropagATION) is used to track the contour of hand. In the particle filter. Given the image in the previous time, the color histogram of an image patch in the center position of the hand can be obtained. After the spread of th

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YADAV, SUMAN. "OBJECT TRACKING USING PARTICLE FILTER." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14504.

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ABSTRACT In this project, a particle filter is implemented in a color model based framework to track the moving object in outdoor environment. firstly the initialisation of samples is done in first frame by drawing them randomly on the screen or drawing them based on the region where the object is expected to appear. Next the samples are predicted based on system model by propagating each sample based on this model. The samples are updated based on the observation model. In this report, we use color distribution of the object as the observation model. Then using the bhattacharya dista

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Choi, Chul Woo. "Peak detection via a particle filter." 2003. http://catalog.hathitrust.org/api/volumes/oclc/52725628.html.

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Thesis (M.S.)--University of Wisconsin--Madison, 2003.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaf 16).

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Chang, Yen-Hsiang, and 張雁翔. "Occluded Pedestrian Tracking using Collaboration of Kalman Filter and Particle Filter." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/79092032066548672333.

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碩士<br>國立臺北大學<br>通訊工程研究所<br>98<br>Object tracking is a one of the key feature in intelligent video surveillance. It is a challenging task in tracking algorithm due to the frequent occlusion encountered between moving objects. We propose a novel method to address the problem of tracking and evaluating the number of people in multiple people scenes with an occlusion condition. The proposed method combines an object tracking system and a head detection. In our framework, Kalman Filter and Particle Filter provide robust object tracking for solving the occlusion between moving object. The head dete

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Pin-JieWu and 吳品頡. "Sparse-Based Object Tracking Using Particle Filter." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/36641097921412749884.

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碩士<br>國立成功大學<br>資訊工程學系<br>102<br>Sparse representation is a significant technique in resent tracking research. However, there are many challenges in the real-world tracking task such as occlusion or appearance change. In this thesis, we propose a sparse-based tracking algorithm with global and local information. We also propose a robust template update scheme to catch the appearance variance. Two kinds of template are updated for global and local information independently. For global information, a stable template set and a normal template set are used to capture the appearance change. The bac

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Tang, Chi-Hung, and 湯騏鴻. "Robust Color Histograms for Particle Filter Tracking." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/24696465548686256255.

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碩士<br>國立清華大學<br>資訊工程學系<br>95<br>Video object tracking is a very important issue in computer vision applications, such as video surveillance, perceptual user interfaces, and object-based video compression. The difficulty of video object tracking might come from many factors, such as cluttered background, occlusions, lighting changes and deformation. In this thesis, we assume that color features in the neighborhood of interest points are important, and propose to use a robust color histogram based on SURF. As shown in the experimental results, the robust color histogram performs well in several

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Datta, Gupta Syamantak. "A Comparative Study of the Particle Filter and the Ensemble Kalman Filter." Thesis, 2009. http://hdl.handle.net/10012/4503.

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Non-linear Bayesian estimation, or estimation of the state of a non-linear stochastic system from a set of indirect noisy measurements is a problem encountered in several fields of science. The particle filter and the ensemble Kalman filter are both used to get sub-optimal solutions of Bayesian inference problems, particularly for high-dimensional non-Gaussian and non-linear models. Both are essentially Monte Carlo techniques that compute their results using a set of estimated trajectories of the variable to be monitored. It has been shown that in a linear and Gaussian environment, solutions o

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Marek, Jiří. "SLAM a navigace s použitím RBPF (Rao-Blackwellized Particle Filter)." Master's thesis, 2018. http://www.nusl.cz/ntk/nusl-387365.

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This work presents a design of an indoor/outdoor SLAM technique combined with navigation for mobile robots. The system does not use any external beacons and relies on only one 2D range finder. This work focuses mainly on an implementation of already established algorithms which were significantly improved (which in effect helped also to overcome the set sensory limitations). To localize the robot and create a map of an unknown environment, we are using a variant of a Rao-Blackwell's particle filter. We also present techniques for navigating in the map and recognizing terrain types. The method

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Tan-HoaNguyen and 阮單浩. "Application of the Particle Filter and Extended Kalman Filter in Mobile Robot Localization." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/87238954930331495718.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>99<br>State estimation is a major problem in mobile robot localization. To this end Gaussian and nonparametric filters have been developed. In this thesis, the extended Kalman filter which assumes Gaussian measurement noise is compared to the particle filter which does not make any assumption on the measurement noise distribution. As a case study, the estimation of the state vector of a mobile robot is used and measurements are available from both odometer and ranger sensors. It is shown that in this kind of localization, the particle filter has improved performan

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Milstein, Adam. "Improved Particle Filter Based Localization and Mapping Techniques." Thesis, 2008. http://hdl.handle.net/10012/3619.

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One of the most fundamental problems in mobile robotics is localization. The solution to most problems requires that the robot first determine its location in the environment. Even if the absolute position is not necessary, the robot must know where it is in relation to other objects. Virtually all activities require this preliminary knowledge. Another part of the localization problem is mapping, the robot’s position depends on its representation of the environment. An object’s position cannot be known in isolation, but must be determined in relation to the other objects. A map gives the

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Liu, Yu-lun, and 劉育倫. "An Improved Head Tracking System Using Particle Filter." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/50343642326136013470.

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碩士<br>國立中央大學<br>通訊工程研究所<br>96<br>Object tracking is an important technique in computer vision, and it can be applied in applications such as visual surveillance and human-robot interaction. How to estimate object scale accurately and choose proper feature to improve tracking accuracy is an important issue. In this paper, our tracking system tracks human heads with particle filter with non-linear and non-Gaussian state transition and measurement. We integrate head detection into tracking system and propose to start head localization with various features based on color similarity of tracking me

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Chiang, Yu-Ting, and 蔣瑜婷. "Object Tracking Using Particle Filter with SURF Feature." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/10212647227316650770.

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碩士<br>國立東華大學<br>資訊工程學系<br>101<br>Object tracking is important in many applications in computer vision, e.g., video analysis, intelligent vehicle, surveillance system, robot vision, human-computer interaction, and so on. This topic has received much attention in the recent decade. Although the topic of object tracking has been well studied in computer vision, it still remains challenge in varying illumination condition, noise influence, scene change, clutter background, occlusion, and similar color. Therefore, how to develop a robust method for object tracking is seriously important. In this th

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Zhou, Zi-Jie, and 周子傑. "Characteristics and Performance Evaluation of Airborne Particle Filter." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/n76s72.

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碩士<br>國立臺北科技大學<br>環境工程與管理研究所<br>107<br>This study evaluated the characteristics and filtration performance of common filter materials Glass fiber, polytetrafluoroethylene, polypropylene, and two commercially available polypropylene filters. Analyze the surface characteristics, charge, and packing density of the filter material. The fiber diameter and pore size have a corresponding relationship: PTFE<Glass fiber<PP. The surface voltage of the filter medium is measured, and Glass fiber and PTFE are hardly electrostatic; the PP filter medium is usually an electret electret, which can maintain a s

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Cui, Jing. "In vivo multi-leukocyte tracking by enhanced particle filter /." 2006. http://wwwlib.umi.com/dissertations/fullcit/3225920.

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Leung, Keith Yu Kit. "Monocular Vision based Particle Filter Localization in Urban Environments." Thesis, 2007. http://hdl.handle.net/10012/3321.

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This thesis presents the design and experimental result of a monocular vision based particle filter localization system for urban settings that uses aerial orthoimagery as a reference map. The topics of perception and localization are reviewed along with their modeling using a probabilistic framework. Computer vision techniques used to create the feature map and to extract features from camera images are discussed. Localization results indicate that the design is viable.

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Lee, Li-Yin, and 李立尹. "Object Tracking Based on Adaboost Classifier and Particle Filter." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/42225030461804640292.

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碩士<br>亞東技術學院<br>資訊與通訊工程研究所<br>101<br>Application of object tracking has always been an important issue in computer vision or image processing applications. In the early stages, object tracking had been applied to air traffic control. Recently, it has often been applied to with security monitoring related fields. There are various types of methods for object tracking. Generally, these methods can be divided into time domain methods and space domain methods. In a time domain system, the target must be able to show time differences. In other words, the target has to move so that judgments can be

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