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Relevant bibliographies by topics / Machine vision; Object tracking / Dissertations / Theses

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Dissertations / Theses on the topic 'Machine vision; Object tracking'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Case, Isaac. "Automatic object detection and tracking in video /." Online version of thesis, 2010. http://hdl.handle.net/1850/12332.

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2

Clarke, John Christopher. "Applications of sequence geometry to visual motion." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244549.

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3

Tydén, Amanda, and Sara Olsson. "Edge Machine Learning for Animal Detection, Classification, and Tracking." Thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166572.

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A research field currently advancing is the use of machine learning on camera trap data, yet few explore deep learning for camera traps to be run in real-time. A camera trap has the purpose to capture images of bypassing animals and is traditionally based only on motion detection. This work integrates machine learning on the edge device to also perform object detection. Related research is brought up and model tests are performed with a focus on the trade-off regarding inference speed and model accuracy. Transfer learning is used to utilize pre-trained models and thus reduce training time and

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4

Stigson, Magnus. "Object Tracking Using Tracking-Learning-Detection inThermal Infrared Video." Thesis, Linköpings universitet, Datorseende, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93936.

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Automatic tracking of an object of interest in a video sequence is a task that has been much researched. Difficulties include varying scale of the object, rotation and object appearance changing over time, thus leading to tracking failures. Different tracking methods, such as short-term tracking often fail if the object steps out of the camera’s field of view, or changes shape rapidly. Also, small inaccuracies in the tracking method can accumulate over time, which can lead to tracking drift. Long-term tracking is also problematic, partly due to updating and degradation of the object model, lea

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5

Patrick, Ryan Stewart. "Surveillance in a Smart Home Environment." Wright State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1278508516.

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6

Moujtahid, Salma. "Exploiting scene context for on-line object tracking in unconstrained environments." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI110/document.

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Avec le besoin grandissant pour des modèles d’analyse automatiques de vidéos, le suivi visuel d’objets est devenu une tache primordiale dans le domaine de la vision par ordinateur. Un algorithme de suivi dans un environnement non contraint fait face à de nombreuses difficultés: changements potentiels de la forme de l’objet, du fond, de la luminosité, du mouvement de la camera, et autres. Dans cette configuration, les méthodes classiques de soustraction de fond ne sont pas adaptées, on a besoin de méthodes de détection d’objet plus discriminantes. De plus, la nature de l’objet est a priori inco

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Skjong, Espen, and Stian Aas Nundal. "Tracking objects with fixed-wing UAV using model predictive control and machine vision." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25990.

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This thesis describes the development of an object tracking system for unmanned aerial vehicles (UAVs), intended to be used for search and rescue (SAR) missions. The UAV is equipped with a two-axis gimbal system, which houses an infrared (IR) camera used to detect and track objects of interest, and a lower level autopilot. An external computer vision (CV) module is assumed implemented and connected to the object tracking system, providing object positions and velocities to the control system. The realization of the object tracking system includes the design and assembly of the UAVs paylo

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Adeboye, Taiyelolu. "Robot Goalkeeper : A robotic goalkeeper based on machine vision and motor control." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-27561.

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This report shows a robust and efficient implementation of a speed-optimized algorithm for object recognition, 3D real world location and tracking in real time. It details a design that was focused on detecting and following objects in flight as applied to a football in motion. An overall goal of the design was to develop a system capable of recognizing an object and its present and near future location while also actuating a robotic arm in response to the motion of the ball in flight. The implementation made use of image processing functions in C++, NVIDIA Jetson TX1, Sterolabs’ ZED stereosco

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9

Barkman, Richard Dan William. "Object Tracking Achieved by Implementing Predictive Methods with Static Object Detectors Trained on the Single Shot Detector Inception V2 Network." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-73313.

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In this work, the possibility of realising object tracking by implementing predictive methods with static object detectors is explored. The static object detectors are obtained as models trained on a machine learning algorithm, or in other words, a deep neural network. Specifically, it is the single shot detector inception v2 network that will be used to train such models. Predictive methods will be incorporated to the end of improving the obtained models’ precision, i.e. their performance with respect to accuracy. Namely, Lagrangian mechanics will be employed to derived equations of motion fo

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10

Ozertem, Kemal Arda. "Vision-assisted Object Tracking." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614073/index.pdf.

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In this thesis, a video tracking method is proposed that is based on both computer vision and estimation theory. For this purpose, the overall study is partitioned into four related subproblems. The first part is moving object detection<br>for moving object detection, two different background modeling methods are developed. The second part is feature extraction and estimation of optical flow between video frames. As the feature extraction method, a well-known corner detector algorithm is employed and this extraction is applied only at the moving regions in the scene. For the feature points, th

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11

Benfold, Ben. "The acquisition of coarse gaze estimates in visual surveillance." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:59186519-9fee-4005-9570-0e3cf0384447.

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This thesis describes the development of methods for automatically obtaining coarse gaze direction estimates for pedestrians in surveillance video. Gaze direction estimates are beneficial in the context of surveillance as an indicator of an individual's intentions and their interest in their surroundings and other people. The overall task is broken down into two problems. The first is that of tracking large numbers of pedestrians in low resolution video, which is required to identify the head regions within video frames. The second problem is to process the extracted head regions and estimate

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Mozaffari, Maaref Mohammad Hamed. "A Real-Time and Automatic Ultrasound-Enhanced Multimodal Second Language Training System: A Deep Learning Approach." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40477.

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The critical role of language pronunciation in communicative competence is significant, especially for second language learners. Despite renewed awareness of the importance of articulation, it remains a challenge for instructors to handle the pronunciation needs of language learners. There are relatively scarce pedagogical tools for pronunciation teaching and learning, such as inefficient, traditional pronunciation instructions like listening and repeating. Recently, electronic visual feedback (EVF) systems (e.g., medical ultrasound imaging) have been exploited in new approaches in such a way

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13

Law, Albert. "Experiments in object tracking in image sequences." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100229.

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This thesis explores three object tracking algorithms for image sequences. These algorithms include the ensemble tracker, the EM-like mean-shift colour-histogram tracker, and the wandering-stable-lost scale-invariant feature transform (WSL-SIFT) tracker. The algorithms are radically different from one another. Despite their differences, they are evaluated on the same publicly available, moderately sized, research data sets which include 129 test cases in 13 different scenes. The results aid in fostering an understanding of their respective behaviours and in highlighting their flaws and failure

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14

Brown, Gary. "An object oriented model of machine vision." Thesis, Kingston University, 1997. http://eprints.kingston.ac.uk/20614/.

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In this thesis an object oriented model is proposed that satisfies the requirements for a generic, customisable, reusable and flexible machine vision framework. These requirements are identified as being: ease of customisation for a particular application domain; independence from image definition; independence from shape representation scheme; ability to add new domain specific shape descriptors; independence from implemented machine vision algorithms; and the ability to maximise reuse of the generic framework. The thesis begins with a review of key machine vision functions and traditional ar

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15

D'Souza, Collin. "Machine vision for shape and object recognition." Thesis, Nottingham Trent University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314332.

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16

Calminder, Simon, and Chittum Mattew Källström. "Object Tracking andInterception System : Mobile Object Catching Robot using StaticStereo Vision." Thesis, KTH, Maskinkonstruktion (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230249.

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The aim of this project is to examine the feasibility andreliability of the use of a low cost computer vision system totrack and intercept a thrown object. A stereo vision systemtracks the object using color recognition and then guides amobile wheeled robot towards an interception point in orderto capture it. Two different trajectory prediction modelsare compared. One model fits a second degree polynomialto the collected positional measurements of the object andthe other uses the Forward Euler Method to construct theobjects flight path.To accurately guide the robot, the angular position of the

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17

Tsitiridis, Aristeidis. "Biologically-inspired machine vision." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8029.

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This thesis summarises research on the improved design, integration and expansion of past cortex-like computer vision models, following biologically-inspired methodologies. By adopting early theories and algorithms as a building block, particular interest has been shown for algorithmic parameterisation, feature extraction, invariance properties and classification. Overall, the major original contributions of this thesis have been: 1. The incorporation of a salient feature-based method for semantic feature extraction and refinement in object recognition. 2. The design and integration of colour

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18

Thomas, Brigneti Andrés Attilio. "Multi-object tracking with camera." Tesis, Universidad de Chile, 2019. http://repositorio.uchile.cl/handle/2250/170746.

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Memoria para optar al título de Ingeniero Civil Eléctrico<br>En este trabajo se evaluarán distintos algoritmos de trackeo para el problema de seguimiento de peatones, donde teniendo un video obtenido de una camara de seguridad, nos interesa reconocer correctamente cada individuo a traves del tiempo, buscando minimizar la cantindad de etiquetas mal asignadas y objetos (peatones) no identificados. Para esto se ocuparán algorimos basados en el concepto de Conjuntos Aleatorios Finitos (Random Finite Sets - RFS), los cuales usan mediciones pasadas de los objetos para predecir posiciones futuras de

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19

Leavers, Violet. "Shape parametrisation and object recognition in machine vision." Thesis, King's College London (University of London), 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243898.

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20

Sun, Yaoru. "Hierarchical object-based visual attention for machine vision." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/316.

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Human vision uses mechanisms of covert attention to selectively process interesting information and overt eye movements to extend this selectivity ability. Thus, visual tasks can be effectively dealt with by limited processing resources. Modelling visual attention for machine vision systems is not only critical but also challenging. In the machine vision literature there have been many conventional attention models developed but they are all space-based only and cannot perform object-based selection. In consequence, they fail to work in real-world visual environments due to the intrinsic limit

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Sun, Shijun. "Video object segmentation and tracking using VSnakes /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/6038.

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22

Berry, David T. "A knowledge-based framework for machine vision." Thesis, Heriot-Watt University, 1987. http://hdl.handle.net/10399/1022.

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23

CALMINDER, SIMON, and CHITTUM MATTHEW KÄLLSTRÖM. "Object Tracking and Interception System : Mobile Object Catching Robot using Static Stereo Vision." Thesis, KTH, Mekatronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233135.

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The aim of this project is to examine the feasibility and reliability of the use of a low cost computer vision system to track and intercept a thrown object. A stereo vision system tracks the object using color recognition and then guides a mobile wheeled robot towards an interception point in order to capture it. Two different trajectory prediction models are compared. One model fits a second degree polynomial to the collected positional measurements of the object and the other uses the Forward Euler Method to construct the objects flight path. To accurately guide the robot, the angular posit

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24

Khaligh-Razavi, Seyed-Mahdi. "Representational geometries of object vision in man and machine." Thesis, University of Cambridge, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708729.

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25

Turesson, Eric. "Multi-camera Computer Vision for Object Tracking: A comparative study." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21810.

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Background: Video surveillance is a growing area where it can help with deterring crime, support investigation or to help gather statistics. These are just some areas where video surveillance can aid society. However, there is an improvement that could increase the efficiency of video surveillance by introducing tracking. More specifically, tracking between cameras in a network. Automating this process could reduce the need for humans to monitor and review since the tracking can track and inform the relevant people on its own. This has a wide array of usability areas, such as forensic investig

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Silva, João Miguel Ferreira da. "People and object tracking for video annotation." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8953.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática<br>Object tracking is a thoroughly researched problem, with a body of associated literature dating at least as far back as the late 1970s. However, and despite the development of some satisfactory real-time trackers, it has not yet seen widespread use. This is not due to a lack of applications for the technology, since several interesting ones exist. In this document, it is postulated that this status quo is due, at least in part, to a lack of easy to use software libraries supporting object tracking. An overview of the pr

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Kim, Sunyoung. "The mathematics of object recognition in machine and human vision." CSUSB ScholarWorks, 2003. https://scholarworks.lib.csusb.edu/etd-project/2425.

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28

Verdie, Yannick. "Surface Gesture & Object Tracking on Tabletop Devices." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/32769.

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In this thesis, we are interested in the use of tabletop surfaces for interactive manipulations. We focus on the implementation of Image Processing algorithms and techniques in two projects exploiting a horizontal surface: â Tangram Projectâ and â MirrorTrackâ . The â Tangram Projectâ studies childrenâ s mathematical skills when manipulating geometrical shapes. This project is supported by NFS (NSF 0736151) based on the proposal â Social Organization, Learning Technologies & Discourse: System Features for Facilitating Mathematical Reasoning in PreK-3 Studentsâ by M. Evans, F. Quek,

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Huang, Kuang Man. "Tracking and analysis of C. elegans behavior using machine vision." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3297739.

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Thesis (Ph. D.)--University of California, San Diego, 2008.<br>Title from first page of PDF file (viewed August 8, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 108-112).

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Kim, Kyungnam. "Algorithms and evaluation for object detection and tracking in computer vision." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2925.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Wallenberg, Marcus. "Embodied Visual Object Recognition." Doctoral thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132762.

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Object recognition is a skill we as humans often take for granted. Due to our formidable object learning, recognition and generalisation skills, it is sometimes hard to see the multitude of obstacles that need to be overcome in order to replicate this skill in an artificial system. Object recognition is also one of the classical areas of computer vision, and many ways of approaching the problem have been proposed. Recently, visually capable robots and autonomous vehicles have increased the focus on embodied recognition systems and active visual search. These applications demand that systems ca

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32

Brohan, Kevin Patrick. "Search and attention for machine vision." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/search-and-attention-for-machine-vision(a4747c9b-ac13-46d1-8895-5f2d88523d80).html.

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This thesis addresses the generation of behaviourally useful, robust representations of the sensory world in the context of machine vision and behaviour. The goals of the work presented in this thesis are to investigate strategies for representing the visual world in a way which is behaviourally useful, to investigate the use of a neurally inspired early perceptual organisation system upon high-level processing in an object recognition system and to investigate the use of a perceptual organisation system on driving an object-based selection process. To address these problems, a biologically in

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33

Levy, Alfred K. "Object tracking in low frame-rate video sequences." Honors in the Major Thesis, University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/339.

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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucf.edu/Systems/DigitalInitiatives/DigitalCollections/InternetDistributionConsentAgreementForm.pdf You may also contact the project coordinator, Kerri Bottorff, at kerri.bottorff@ucf.edu for more information.<br>Bachelors<br>Engineering<br>Computer Science

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34

Krieger, Evan. "Adaptive Fusion Approach for Multiple Feature Object Tracking." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton15435905735447.

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35

Eslami, Seyed Mohammadali. "Generative probabilistic models for object segmentation." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/8898.

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One of the long-standing open problems in machine vision has been the task of ‘object segmentation’, in which an image is partitioned into two sets of pixels: those that belong to the object of interest, and those that do not. A closely related task is that of ‘parts-based object segmentation’, where additionally each of the object’s pixels are labelled as belonging to one of several predetermined parts. There is broad agreement that segmentation is coupled to the task of object recognition. Knowledge of the object’s class can lead to more accurate segmentations, and in turn accurate segmentat

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36

Lan, Xiangyuan. "Multi-cue visual tracking: feature learning and fusion." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/319.

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As an important and active research topic in computer vision community, visual tracking is a key component in many applications ranging from video surveillance and robotics to human computer. In this thesis, we propose new appearance models based on multiple visual cues and address several research issues in feature learning and fusion for visual tracking. Feature extraction and feature fusion are two key modules to construct the appearance model for the tracked target with multiple visual cues. Feature extraction aims to extract informative features for visual representation of the tracked ta

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37

Yamato, Junji 1964. "Tracking moving object by stereo vision head with vergence for humanoid robot." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9950.

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Waddington, Gary. "Biedermans Recognition by Components (RBC) theory of human object recognition - an investigation." Thesis, University of Reading, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301971.

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39

Mhalla, Ala. "Multi-object detection and tracking in video sequences." Thesis, Université Clermont Auvergne‎ (2017-2020), 2018. http://www.theses.fr/2018CLFAC084/document.

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Le travail développé dans cette thèse porte sur l'analyse de séquences vidéo. Cette dernière est basée sur 3 taches principales : la détection, la catégorisation et le suivi des objets. Le développement de solutions fiables pour l'analyse de séquences vidéo ouvre de nouveaux horizons pour plusieurs applications telles que les systèmes de transport intelligents, la vidéosurveillance et la robotique. Dans cette thèse, nous avons mis en avant plusieurs contributions pour traiter les problèmes de détection et de suivi d'objets multiples sur des séquences vidéo. Les techniques proposées sont basées

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Lin, Cong. "Non-rigid visual object tracking with statistical learning of appearance model." Thesis, University of Macau, 2017. http://umaclib3.umac.mo/record=b3691900.

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Cuan, Bonan. "Deep similarity metric learning for multiple object tracking." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI065.

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Le suivi d’objets multiples dans une scène est une tâche importante dans le domaine de la vision par ordinateur, et présente toujours de très nombreux verrous. Les objets doivent être détectés et distingués les uns des autres de manière continue et simultanée. Les approches «suivi par détection» sont largement utilisées, où la détection des objets est d’abord réalisée sur toutes les frames, puis le suivi est ramené à un problème d’association entre les détections d’un même objet et les trajectoires identifiées. La plupart des algorithmes de suivi associent des modèles de mouvement et des modèl

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Ingersoll, Kyle. "Vision Based Multiple Target Tracking Using Recursive RANSAC." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/4398.

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In this thesis, the Recursive-Random Sample Consensus (R-RANSAC) multiple target tracking (MTT) algorithm is further developed and applied to video taken from static platforms. Development of R-RANSAC is primarily focused in three areas: data association, the ability to track maneuvering objects, and track management. The probabilistic data association (PDA) filter performs very well in the R-RANSAC framework and adds minimal computation cost over less sophisticated methods. The interacting multiple models (IMM) filter as well as higher-order linear models are incorporated into R-RANSAC to imp

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Clark, Daniel S. "Object detection and tracking using a parts-based approach /." Link to online version, 2005. https://ritdml.rit.edu/dspace/handle/1850/1167.

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khan, saad. "MULTI-VIEW APPROACHES TO TRACKING, 3D RECONSTRUCTION AND OBJECT CLASS DETECTION." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4066.

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Multi-camera systems are becoming ubiquitous and have found application in a variety of domains including surveillance, immersive visualization, sports entertainment and movie special effects amongst others. From a computer vision perspective, the challenging task is how to most efficiently fuse information from multiple views in the absence of detailed calibration information and a minimum of human intervention. This thesis presents a new approach to fuse foreground likelihood information from multiple views onto a reference view without explicit processing in 3D space, thereby circumventing

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Sigal, Leonid. "Continuous-state graphical models for object localization, pose estimation and tracking." View abstract/electronic edition; access limited to Brown University users, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3318361.

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46

Doran, Matthew M. "The role of visual attention in multiple object tracking evidence from ERPS." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 110 p, 2009. http://proquest.umi.com/pqdweb?did=1885675151&sid=5&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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47

Atkins, Philip J. "Spatiotemporal filtering with neural circuits for motion detection and tracking." Thesis, University of Brighton, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318727.

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48

Vinther, Sven. "Active 3D object recognition using geometric invariants." Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362974.

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49

Nelson, Eric D. "Zoom techniques for achieving scale invariant object tracking in real-time active vision systems /." Online version of the thesis, 2006. https://ritdml.rit.edu/dspace/handle/1850/2620.

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Rodríguez, Florez Sergio Alberto. "Contributions by vision systems to multi-sensor object localization and tracking for intelligent vehicles." Compiègne, 2010. http://www.theses.fr/2010COMP1910.

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Les systèmes d’aide à la conduite peuvent améliorer la sécurité routière en aidant les utilisateurs via des avertissements de situations dangereuses ou en déclenchant des actions appropriées en cas de collision imminente (airbags, freinage d’urgence, etc). Dans ce cas, la connaissance de la position et de la vitesse des objets mobiles alentours constitue une information clé. C’est pourquoi, dans ce travail, nous nous focalisons sur la détection et le suivi d’objets dans une scène dynamique. En remarquant que les systèmes multi-caméras sont de plus en plus présents dans les véhicules et en sach

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