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Dissertations / Theses on the topic 'Tracking information'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

SHABUNINA, EKATERINA. "Information Evolution Modeling, Tracking and Analyzing in Social Media Streams." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2018. http://hdl.handle.net/10281/199007.

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Nei tempi attuali, User Generated Content è la principale fonte di notizie e opinioni in tempo reale sugli avvenimenti mondiali. I Social Media, che servono da ambiente per la creazione e la diffusione di contenuti generati dagli utenti, sono, quindi, rappresentativi della nostra cultura e costituiscono un potenziale tesoro di conoscenza. Pertanto, l'analisi del contenuto diffuso nei social media può portare opportunità senza precedenti a molte aree di ricerca e applicazione. Questa questione è stata esplorata da due diversi punti di vista nella prima fase di questa tesi di dottorato. In part

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Dowson, N. D. H. "Simultaneously modelling and tracking using mutual information." Thesis, University of Surrey, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435099.

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3

McCamant, Stephen. "Quantitative information-flow tracking for real systems." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44903.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 99-105).<br>An information-flow security policy constrains a computer system's end-to-end use of information, even as it is transformed in computation. For instance, a policy would not just restrict what secret data could be revealed directly, but restrict any output that might allow infere

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Russ, John A. S. M. Massachusetts Institute of Technology. "Mutual information based tracking with mobile sensors." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62314.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (p. 125-127).<br>In order to utilize mobile sensor nodes in a sensing and estimation problem, one must carefully consider the optimal placement of those sensor nodes and simultaneously account for the cost incurred in moving the sensor no

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Kelepouris, Thomas. "The value of supply chain tracking information." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611637.

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Shiozawa, Kaymie. "Gaze tracking : seeking critical information for autonomous excavation." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123268.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 37-38).<br>Automating excavation in mining and construction applications is crucial today as the supply of skilled operators cannot match market demand. To efficiently make control decisions for autonomous excavators without having to take in all visual inputs from a typical operator's field of view, gaze tracking is employed in solely extracting key visual information that skilled operators use in the field. Both

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7

Suppitaksakul, Chatchai. "Pedestrian detection and tracking." Thesis, Northumbria University, 2006. http://nrl.northumbria.ac.uk/488/.

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This report presents work on the detection and tracking of people in digital images. The employed detection technique is based on image processing and classification techniques. The work uses an object detection process to detect object candidate locations and a classification method using a Self-Organising Map neural network to identify the pedestrian head positions in an image. The proposed tracking technique with the support of a novel prediction method is based on the association of Cellular Automata (CA) and a Backpropagation Neural Network (BPNN). The tracking employs the CA to capture t

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Rajagopal, Abhejit, Vincent Radzicki, Shivkumar Chandrasekaran, and Hua Lee. "TRACKING INFORMATION IN SAR IMAGE FORMATION AND CLASSIFICATION ALGORITHMS." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/626979.

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Traditional target detection pipelines involve two sequential steps: the formation of a range-profile or likely-image, and the classification of likely targets within that image. Although it has been shown that target tracking in the RaDAR image-domain can be unnecessarily noisy, with more accurate and efficient implementations involving a direct analysis of the measured wavefield, image formation remains a desirable output in many applications due to its highly descriptive and interpretable nature. In this paper, we outline a mechanism for formalizing and accelerating this procedure in

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Gong, Ming M. Eng Massachusetts Institute of Technology. "Information tracking and sharing in organic photovoltaic panel manufacturing." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/69488.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 76-77).<br>The MIT MEng team of four worked with Konarka Technologies, a world leading organic solar panel manufacturer, on production tracking and analysis as well as various operational improvement projects. MIT's collaborative improvement projects at Konarka's manufacturing facility were focused on information system and operations in the finishing processes after solar panels have been coated. This thesis report,

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10

Tedori, Veronica. "Design of a safety management information and tracking system." Master's thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-03302010-020341/.

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11

Visuri, A. (Aku). "Smartphone based contextual symptom tracking and data gathering." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201609142777.

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Mobile devices are increasingly used for self-monitoring in areas of health, mood, and exercise tracking. The capabilities of modern devices also enable automation of this monitoring on a brand new scale. This thesis outlines the design, implementation, and evaluation via two-month long deployment of a system aimed to help both individual users and researchers to efficiently gather self-reported data. The name of the presented system is LifeTracker. LifeTracker is a two-tier system consisting of an Android application, used to gather data for personal or academic use, and a web dashboard, used

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12

Nashenda, Hubert Tangee. "Uncertain input estimation with application to Kalman tracking." Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/10909.

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Includes bibliographical references (p. 98-104).<br>Many motion tracking systems average and integrate tracking measurements over a period of time in order to reduce the effects of device noise, external noise and other disturbances. The target (user) is likely to be moving throughout the sample time, introducing additional 'noise' (uncertainty) into the measurements. Without filtering, noise can cause small variations in the estimated tracking positions (tracking drift) over time. There are many filters and algorithms that account for uncertainty due to noise. The Kalman filter has

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Junler, Ludvig. "Evaluation of Tracking Filters for Tracking of Manoeuvring Targets." Thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166957.

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This thesis evaluates different solutions to the target tracking problem with the use of airborne radar measurements. The purpose of this report is to present and compare options that can improve the tracking performance when the target is performing various manoeuvres while the radar measurements are noisy. A simulation study is done to evaluate and compare the presented solutions, where the evaluating criteria are the estimation errors and the computational complexity. The algorithms investigated are the general pseudo Bayesian of order one (GPB(1)) filter and the interacting multiple model

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Khairat, Saif. "Clinical content tracking system an efficient request tracking via a graphical user interface /." Diss., Columbia, Mo. : University of Missouri-Columbia, 2007. http://hdl.handle.net/10355/4892.

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Thesis (M.S.)--University of Missouri-Columbia, 2007.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on March 28, 2008) Vita Includes bibliographical references.

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15

McCurry, David B. "Provenance Tracking in a Commons of Geographic Data." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/McCurryDB2007.pdf.

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16

Ji, Guangfeng. "Feature tracking and viewing for time-varying data sets." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1148658139.

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Yang, Zhufang. "Multiple-model tracking with fixed-lag smoothing using imprecise information." Thesis, University of Birmingham, 2002. http://etheses.bham.ac.uk//id/eprint/8/.

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A new multiple-model filter for target tracking has been developed and performed well in this thesis. The procedure of the new multiple model (MM) filter has no compromises between non-manoeuvre and manoeuvre, and between manoeuvres except in the ambiguous cases. The operation of the new MM filter is simple like VD filter but with no need for reconstruction of manoeuvre, and the new MM filter also considers all kinds of motions like interacting multiple model (IMM) filter but with a small number of models and significantly reduced computational load. The scheme of the new multiple-model tracki

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Flodin, Frida. "Improved Data Association for Multi-Pedestrian Tracking Using Image Information." Thesis, Linköpings universitet, Datorseende, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-169419.

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Multi-pedestrian tracking (MPT) is the task of localizing and following the trajectory of pedestrians in a sequence. Using an MPT algorithm is an important part in preventing pedestrian-vehicle collisions in Automated Driving (AD) and Advanced Driving Assistance Systems (ADAS). It has benefited greatly from the advances in computer vision and machine learning in the last decades. Using a pedestrian detector, the tracking consists of associating the detections between frames and maintaining pedestrian identities throughout the sequence. This can be a challenging task due to occlusions, missed d

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Katta, Pradeep. "Integrating depth and intensity information for vision-based head tracking." abstract and full text PDF (UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1456416.

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20

Su, Peng. "Signal Dependency Analysisand Status Propagation Tracking." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276770.

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In software engineering, analyzing the dependence of software modules and signals is a common method of verification and testing software behaviors. Through dependency analysis, users can improve the quality and operating efficiency of the code. Also, analyzing dependencies can reflect the working status of software modules. Software signal dependence is thus very important for software verification. However, how to perform the dependency analysis is an open question. Code review is a text-based analysis method. When faced with many dependencies, the readability is significantly reduced. It is

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Cavanaugh, Andrew F. "Bayesian Information Fusion for Precision Indoor Location." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-theses/157.

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This thesis documents work which is part of the ongoing effort by the Worcester Polytechnic Institute (WPI) Precision Personnel Locator (PPL) project, to track and locate first responders in urban/indoor settings. Specifically, the project intends to produce a system which can accurately determine the floor that a person is on, as well as where on the floor that person is, with sub-meter accuracy. The system must be portable, rugged, fast to set up, and require no pre-installed infrastructure. Several recent advances have enabled us to get closer to meeting these goals: The development of Tran

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Braden, Thomas J. "The Incident Dispatching and Tracking System." UNF Digital Commons, 2000. http://digitalcommons.unf.edu/etd/264.

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The Incident Dispatching and Tracking System (IDTS) was developed to facilitate the technical support of an organization. IDTS provides a means by which a user may submit their issue/problem to the system and receive a unique trouble ticket number. This number can then be used to view the status of that record, minimizing the need for inquiries to the technical support team. IDTS also provides a dispatching function that assigns each trouble ticket to a technician that specializes in that type of issue. Finally, there is a reporting function that allows the technical support team to view the c

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Bereza-Jarocinski, Robert, and Therese Persson. "Autonomous Trajectory Tracking and Obstacle Avoidance." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214704.

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Autonomous ground vehicles (AGVs), such as selfdrivingcars, are expected to become a central part of infrastructurein future smart cities. There are many technicalchallenges with making vehicles autonomous. They have to beable to find their way in both free environments as well asin environments with obstacles and other vehicles. To achievethis, they require many sensors to analyze their surroundings.The aim with this paper is to investigate the sensor typesnormally used in AGVs, describe their functionality and alsoprovide a model of how an autonomous vehicle can navigate indifferent environm

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Bereza, Robert, and Therese Persson. "Autonomous Trajectory Tracking and Obstacle Avoidance." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214704.

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Autonomous ground vehicles (AGVs), such as selfdrivingcars, are expected to become a central part of infrastructurein future smart cities. There are many technicalchallenges with making vehicles autonomous. They have to beable to find their way in both free environments as well asin environments with obstacles and other vehicles. To achievethis, they require many sensors to analyze their surroundings.The aim with this paper is to investigate the sensor typesnormally used in AGVs, describe their functionality and alsoprovide a model of how an autonomous vehicle can navigate indifferent environm

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Wiklander, Gustav. "Real time tracking in truck fleet management." Thesis, Uppsala universitet, Avdelningen för datorteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-328404.

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This thesis researches Scania's challenge to display the position oftrucks, with high accuracy and good user experience while with minimalposition transfers from the truck. This thesis presents an eventtriggered position update (ETPU) algorithm for sending positions fromthe truck along with real time estimation on the client. The key pointwith this system is that the truck computes the same estimation toevaluate its accuracy and sends a new position if the estimate isinsufficient. This achieves a system in which position updates areonly done when needed to achieve a selected accuracy. Simulati

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O'Donnell, Greg Martin. "Information tracking for flood impact of land use and management change." Thesis, University of Newcastle Upon Tyne, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533688.

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Knowledge of how local changes in runoff generation propagate through the stream network to create impacts downstream at the larger catchment scale is lacking. This issue needs to be urgently addressed, particularly as many organisations involved in flood risk management favour interventions that manage runoff at source. To enable research into propagation of catchment flood runoff and its impacts, a new modelling approach has been developed. The catchment is discretised into the component hillslopes/fields, which are connected to a dense dendritic stream network. Runoff generated from the lan

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Vandormael, Hildward. "Optimal decision agents? : biases during voluntary information sampling using eye-tracking." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:7020be70-158c-4806-b4c7-2b0965a89583.

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This thesis aims to understand the policy by which humans sample information, and how this policy influences perceptual decision-making. We will address this question using a variety of methods, including behavioural measures, computational modelling, and eye tracking. First, we will highlight the importance of considering an explicit information sampling policy as an integral component of the decision-making process. Secondly, we will focus on the determinants of this information sampling policy. Finally, we will address potential methodological concerns and provide a novel analysis approach

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Zhou, Xiaolei. "NEW METRICS AND MEASUREMENT FOR INFORMATION ACQUISITION IN DECISION MAKING." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1398971883.

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Härenstam-Nielsen, Linus. "Deep Convolutional Networks with Recurrence for Eye-Tracking." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240608.

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This thesis explores the use of temporally recurrent connections in convolutional neural networks for eye-tracking. We specifically investigate the impact of replacing the convolutional layers in a regular CNN with convolutional LSTMs and replacing the fully connected feature layers with regular RNNs and LSTMs. This requires us to transition from a static single-frame input model to a time-dependent multipleframe input model. Doing so naturally introduces extra complexity to the eye-tracking pipeline, so we highlight the advantages and disadvantages. Our results show that adding LSTM-cells to

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Ding, Runxiao. "Contextual information aided target tracking and path planning for autonomous ground vehicles." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/23268.

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Recently, autonomous vehicles have received worldwide attentions from academic research, automotive industry and the general public. In order to achieve a higher level of automation, one of the most fundamental requirements of autonomous vehicles is the capability to respond to internal and external changes in a safe, timely and appropriate manner. Situational awareness and decision making are two crucial enabling technologies for safe operation of autonomous vehicles. This thesis presents a solution for improving the automation level of autonomous vehicles in both situational awareness and de

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Kroshl, William M. "Methodologies for resolving anomalous position information in torpedo range tracking using simulation." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23303.

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This thesis investigates the problem of resolving dual path records of torpedoes being tracked on an acoustic range using short baseline arrays. An acoustic signal is sent out by a torpedo at short intervals. This signal is then received by the four hydrophones of a short baseline array. Arrival time differences in the signal are used to determine an estimated position for the torpedo at the time the signal was emitted using spherical equations and acoustic raytracing. In those areas where two arrays can track a target simultaneously, two sets of estimated positions are generated. These estima

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Lao, Junpeng. "Tracking the temporal dynamics of cultural perceptual diversity in visual information processing." Thesis, University of Glasgow, 2014. http://theses.gla.ac.uk/5055/.

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Human perception and cognition processing are not universal. Culture and experience markedly modulate visual information sampling in humans. Cross-cultural studies comparing between Western Caucasians (WCs) and East Asians (EAs) have shown cultural differences in behaviour and neural activities in regarding to perception and cognition. Particularly, a number of studies suggest a local perceptual bias for Westerners (WCs) and a global bias for Easterners (EAs): WCs perceive most efficiently the salient information in the focal object; as a contrast EAs are biased toward the information in the b

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Manyika, James. "An information-theoretic approach to data fusion and sensor management." Thesis, University of Oxford, 1993. http://ora.ox.ac.uk/objects/uuid:6e6dd2a8-1ec0-4d39-8f8b-083289756a70.

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The use of multi-sensor systems entails a Data Fusion and Sensor Management requirement in order to optimize the use of resources and allow the synergistic operation of sensors. To date, data fusion and sensor management have largely been dealt with separately and primarily for centralized and hierarchical systems. Although work has recently been done in distributed and decentralized data fusion, very little of it has addressed sensor management. In decentralized systems, a consistent and coherent approach is essential and the ad hoc methods used in other systems become unsatisfactory. This th

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Bhat, Goutam. "Accurate Tracking by Overlap Maximization." Thesis, Linköpings universitet, Datorseende, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154653.

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Visual object tracking is one of the fundamental problems in computer vision, with a wide number of practical applications in e.g.\ robotics, surveillance etc. Given a video sequence and the target bounding box in the first frame, a tracker is required to find the target in all subsequent frames. It is a challenging problem due to the limited training data available. An object tracker is generally evaluated using two criterias, namely robustness and accuracy. Robustness refers to the ability of a tracker to track for long durations, without losing the target. Accuracy, on the other hand, denot

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Ringh, Emil, and Martin Larsson. "Movement detection and tracking using wireless camera networks." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199270.

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Glamheden, Mikael, and Simon Eriksson. "Autonomous Trajectory Tracking for a Differential Drive Vehicle." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239351.

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This paper explores controlling a two-wheeled differential drive vehicle using path planning algorithms and potential fields in order to track a target area while avoiding obstacles. Additionally, formation control was investigated using potential fields and a virtual structure approach separately. Finally, analysis of communication constraints in the form of sampling, disturbances and quantization are taken into account and theoretical or analysis results are given. It was concluded that the potential fields method result in an intuitive and dynamic controller that can be used to navigate wit

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Rivas, Diaz Juan Manuel. "Model-based object tracking with an infrared stereo camera." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45442.

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Object tracking has become really important in the field of robotics in the last years. Frequently, the goal is to obtain the trajectory of the tracked target over time and space by acquiring and processing information from the sensors. In this thesis we are interested in tracking objects at a very short range. The primary application of our approach is targeting the domain of object tracking during grasp execution with a hand-in-eye sensor setup. To this end, a promising approach investigated in this work is based on the Leap Motion sensor, which is designed for tracking human hands. However,

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Shan, Mao. "Cooperative Vehicle Tracking in Large Environments." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/10100.

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Vehicle position tracking and prediction over large areas is of significant importance in many industrial applications, such as mining operations. In a small area, this can be easily achieved by providing vehicles with a constant communication link to a control centre and having the vehicles broadcast their position. The problem changes dramatically when vehicles operate within a large environment of potentially hundreds of square kilometres and in difficult terrain. This thesis presents algorithms for cooperative tracking of vehicles based on a vehicle motion model that incorporates the prope

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Ban, Yutong. "Suivi multi-locuteurs avec information audio-visuel pour la perception du robot." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM017/document.

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La perception des robots joue un rôle crucial dans l’interaction homme-robot (HRI). Le système de perception fournit les informations au robot sur l’environnement, ce qui permet au robot de réagir en consequence. Dans un scénario de conversation, un groupe de personnes peut discuter devant le robot et se déplacer librement. Dans de telles situations, les robots sont censés comprendre où sont les gens, ceux qui parlent et de quoi ils parlent. Cette thèse se concentre sur les deux premières questions, à savoir le suivi et la diarisation des locuteurs. Nous utilisons différentes modalités du syst

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Qwillbard, Tony. "Less information, more thinking : How attentional behavior predicts learning in mathematics." Thesis, Umeå universitet, Institutionen för psykologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-100999.

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It has been shown in experiments that a method of teaching where students are encouraged to create their own solution methods to mathematical problems (creative mathematically founded reasoning, CMR) results in better learning and proficiency than one where students are provided with solution methods for them to practice by repetition (algorithmic reasoning, AR). The present study investigated whether students in an AR practice condition pay less attention to information relevant for mathematical problem solving than students in a CMR condition. To test this, attentional behavior during practi

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Chen, Cai. "Developing a Wildlife Tracking Extension for ArcGIS." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc10999/.

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Wildlife tracking is an essential task to gain better understanding of the migration pattern and use of space of the wildlife. Advances in computer technology and global positioning systems (GPS) have lowered costs, reduced processing time, and improved accuracy for tracking wild animals. In this thesis, a wildlife tracking extension is developed for ArcGIS 9.x, which allows biologists and ecologists to effectively track, visualize and analyze the movement patterns of wild animals. The extension has four major components: (1) data import; (2) tracking; (3) spatial and temporal analysis; and (4

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Aragon, Marc A. "A web-enabled database for tracking the Personnel Qualifications of Information Professional Officers." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Dec%5FAragon.pdf.

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Shi, Suping. "Comparison of Player Tracking-by-Detection Algorithms in Football Videos." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285960.

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In recent years, increasing demands on sports analytics have triggered growing research interest in automatic player tracking-by-detection approaches. Two prominent branches in this area are Convolutional Neural Network (CNN)-based visual object detectors and histogram-based detectors. In this thesis, we focus on a particular sub-domain: player tracking by detection in broadcast football games. To tackle challenges in this domain, such as motion blur and varied image quality, two different systems are proposed based on histogram and CNN respectively. With the help of transfer learning, the CNN

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Lawver, Jordan D. "Robust Feature Tracking in Image Sequences Using View Geometric Constraints." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1365611706.

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Chang, Fu-JEN, and 張福仁. "Image Tracking Based on Gradient Vector Information." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/35884606439424318005.

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碩士<br>國防大學理工學院<br>電子工程碩士班<br>102<br>As technology advances, the development of unmanned control weapon system will be an important trend to the national defense of every country for in the future. To achieve the full-time automated monitoring, identification or tracking targets through the visual techniques, no one needs to control the system of unmanned control weapons. However, most of the traditional monitoring systems are mainly based on the fixed cameras, and they are not suitable for the condition that the cameras move irregularly with the vehicles. In this thesis, we emphasize that it i

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Suh, G. Edward, Jaewook Lee, David Zhang, and Srinivas Devadas. "Secure Program Execution Via Dynamic Information Flow Tracking." 2003. http://hdl.handle.net/1721.1/30396.

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We present a simple architectural mechanism called dynamicinformation flow tracking that can significantly improve thesecurity of computing systems with negligible performanceoverhead. Dynamic information flow tracking protects programs against malicious software attacks by identifying spurious information flows from untrusted I/O and restrictingthe usage of the spurious information.Every security attack to take control of a program needsto transfer the programÂs control to malevolent code. Inour approach, the operating system identifies a set of inputchannels as spurious, and the processor t

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Pistol, Ion Valentin. "Practical Dynamic Information-Flow Tracking on Mobile Devices." Diss., 2014. http://hdl.handle.net/10161/9067.

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<p>Today's consumer mobile platforms such as Android and iOS manage large ecosystems of untrusted third-party applications. It is common for an application to request one or more types of sensitive data. Unfortunately, users have no insight into how their data is used. Given the sensitivity of the data accessible by these applications, it is paramount that mobile operating systems prevent apps from leaking it.</p><p>This dissertation shows that it is possible to improve the soundness of dynamic information-flow tracking on a mobile device without sacrificing precision, performance, or transpar

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Chiu, Yi-Pin, and 邱奕斌. "Elastic Information Flow Tracking for Program Behavior Analysis." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/m37t37.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>104<br>Open source project has been widely developed and released thanks to the rapid growth of the Internet. Many useful open source projects can be found on the Internet. However, using open source project might be insecure even though it provides all the source code. The reason is that for users who just want to use the program as a tool, they might not actually check the containing code. The execution behavior of the program might not be the same as you think. Hence, in this research, we propose an elastic information flow tracking framework based on source co

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Chang, Chun-Min, and 張鈞閔. "Cooperative Tracking using Encounter Information by Particle Filtering." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/37994632129234437166.

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碩士<br>國立清華大學<br>資訊工程學系<br>102<br>One of the fundamental features of the Internet of Things (IoT) is the ability to track its users location over time as a way to provide service in the right context. While many localization and tracking techniques have been proposed using cameras and RF-based techniques,they are ultimately limited by the ability to deploy tracking infrastructure and cannot operate when outside coverage area. To overcome this limitation, we propose encounter-based cooperative tracking for proximity-enabled wireless nodes. These nodes, carried by the subjects being tracked, ro

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Chu, Chen-Shen, and 朱振伸. "Collaborative Shifting, Tracking and Information Aggregation for Multi-Target Tracking in Mobile Sensor Networks." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/44568894299501040106.

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碩士<br>國立東華大學<br>資訊工程學系<br>98<br>Wireless Sensor Network is a new emerging technology in recent years. As technology advances, the applications of wireless sensor network are widely deployed on many kinds of places, such as military-capturing, home-caring, to collect lots of sensing data for analyzing. We transform these data into useful information, and the commanders can adjust the strategy according to circumstances. We propose an object tracking method, predictive approaching method to improve the tracking rate we propose before. Target tracking is an importing issue to collect data from

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