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Rozprawy doktorskie na temat „Visual tracking”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Danelljan, Martin. "Visual Tracking." Thesis, Linköpings universitet, Datorseende, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-105659.

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Visual tracking is a classical computer vision problem with many important applications in areas such as robotics, surveillance and driver assistance. The task is to follow a target in an image sequence. The target can be any object of interest, for example a human, a car or a football. Humans perform accurate visual tracking with little effort, while it remains a difficult computer vision problem. It imposes major challenges, such as appearance changes, occlusions and background clutter. Visual tracking is thus an open research topic, but significant progress has been made in the last few yea

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Wessler, Mike. "A modular visual tracking system." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11459.

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Klein, Georg. "Visual tracking for augmented reality." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614262.

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Salama, Gouda Ismail Mohamed. "Monocular and Binocular Visual Tracking." Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/37179.

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Visual tracking is one of the most important applications of computer vision. Several tracking systems have been developed which either focus mainly on the tracking of targets moving on a plane, or attempt to reduce the 3-dimensional tracking problem to the tracking of a set of characteristic points of the target. These approaches are seriously handicapped in complex visual situations, particularly those involving significant perspective, textures, repeating patterns, or occlusion. This dissertation describes a new approach to visual tracking for monocular and binocular image sequences, and f

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Dehlin, Carl. "Visual Tracking Using Stereo Images." Thesis, Linköpings universitet, Datorseende, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-153776.

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Visual tracking concerns the problem of following an arbitrary object in a video sequence. In this thesis, we examine how to use stereo images to extend existing visual tracking algorithms, which methods exists to obtain information from stereo images, and how the results change as the parameters to each tracker vary. For this purpose, four abstract approaches are identified, with five distinct implementations. Each tracker implementation is an extension of a baseline algorithm, MOSSE. The free parameters of each model are optimized with respect to two different evaluation strategies called no

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Salti, Samuele <1982&gt. "On-line adaptive visual tracking." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/3735/1/samuele_salti_tesi.pdf.

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Visual tracking is the problem of estimating some variables related to a target given a video sequence depicting the target. Visual tracking is key to the automation of many tasks, such as visual surveillance, robot or vehicle autonomous navigation, automatic video indexing in multimedia databases. Despite many years of research, long term tracking in real world scenarios for generic targets is still unaccomplished. The main contribution of this thesis is the definition of effective algorithms that can foster a general solution to visual tracking by letting the tracker adapt to mutating worki

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Salti, Samuele <1982&gt. "On-line adaptive visual tracking." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/3735/.

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Visual tracking is the problem of estimating some variables related to a target given a video sequence depicting the target. Visual tracking is key to the automation of many tasks, such as visual surveillance, robot or vehicle autonomous navigation, automatic video indexing in multimedia databases. Despite many years of research, long term tracking in real world scenarios for generic targets is still unaccomplished. The main contribution of this thesis is the definition of effective algorithms that can foster a general solution to visual tracking by letting the tracker adapt to mutating worki

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8

Delabarre, Bertrand. "Contributions to dense visual tracking and visual servoing using robust similarity criteria." Thesis, Rennes 1, 2014. http://www.theses.fr/2014REN1S124/document.

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Dans cette thèse, nous traitons les problèmes de suivi visuel et d'asservissement visuel, qui sont des thèmes essentiels dans le domaine de la vision par ordinateur. La plupart des techniques de suivi et d'asservissement visuel présentes dans la littérature se basent sur des primitives géométriques extraites dans les images pour estimer le mouvement présent dans la séquence. Un problème inhérent à ce type de méthode est le fait de devoir extraire et mettre en correspondance des primitives à chaque nouvelle image avant de pouvoir estimer un déplacement. Afin d'éviter cette couche algorithmique

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9

Arslan, Ali Erkin. "Visual Tracking With Group Motion Approach." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/4/1056100/index.pdf.

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An algorithm for tracking single visual targets is developed in this study. Feature detection is the necessary and appropriate image processing technique for this algorithm. The main point of this approach is to use the data supplied by the feature detection as the observation from a group of targets having similar motion dynamics. Therefore a single visual target is regarded as a group of multiple targets. Accurate data association and state estimation under clutter are desired for this application similar to other multi-target tracking applications. The group tracking approach is used with t

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10

Zhu, Biwen. "Visual Tracking with Deep Learning : Automatic tracking of farm animals." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240086.

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Automatic tracking and video of surveillance on a farm could help to support farm management. In this project, an automated detection system is used to detect sows in surveillance videos. This system is based upon deep learning and computer vision methods. In order to minimize disk storage and to meet the network requirements necessary to achieve the real-performance, tracking in compressed video streams is essential. The proposed system uses a Discriminative Correlation Filter (DCF) as a classifier to detect targets. The tracking model is updated by training the classifier with online learnin

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11

White, Jacob Harley. "Real-Time Visual Multi-Target Tracking in Realistic Tracking Environments." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7486.

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This thesis focuses on visual multiple-target tracking (MTT) from a UAV. Typical state-of-the-art multiple-target trackers rely on an object detector as the primary detection source. However, object detectors usually require a GPU to process images in real-time, which may not be feasible to carry on-board a UAV. Additionally, they often do not produce consistent detections for small objects typical of UAV imagery.In our method, we instead detect motion to identify objects of interest in the scene. We detect motion at corners in the image using optical flow. We also track points long-term to co

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12

Niethammer, Marc. "Dynamic Level Sets for Visual Tracking." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/7606.

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This thesis introduces geometric dynamic active contours in the context of visual tracking, augmenting geometric curve evolution with physically motivated dynamics. Adding additional state information to an evolving curve lifts the curve evolution problem to space dimensions larger than two and thus forbids the use of classical level set techniques. This thesis therefore develops and explores level set methods for problems of higher codimension, putting an emphasis on the vector distance function based approach. This formalism is very general, it is interesting in its own right and still a c

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13

Ndiour, Ibrahima Jacques. "Dynamic curve estimation for visual tracking." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37283.

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This thesis tackles the visual tracking problem as a target contour estimation problem in the face of corrupted measurements. The major aim is to design robust recursive curve filters for accurate contour-based tracking. The state-space representation adopted comprises of a group component and a shape component describing the rigid motion and the non-rigid shape deformation respectively; filtering strategies on each component are then decoupled. The thesis considers two implicit curve descriptors, a classification probability field and the traditional signed distance function, and aims to deve

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14

Laberge, Dominic. "Visual tracking for human-computer interaction." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26504.

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The purpose of this master's thesis project is to design, implement and evaluate vision-based user interfaces for use in the context of virtual environments. Three interfaces are treated. The first one is a 4 degrees of freedom (DOF) mouse that can track the position and 1 DOF or rotation (roll) of a user's hand. The second one is a 6 DOF mouse that can track both the position and the orientation of a user's hand in 3D space. Finally the third one is a laser pointing interface used to track the laser spot of a standard laser pointer, in order to interact with a large screen display. The two la

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15

Khan, Muhammad Haris. "Visual tracking over multiple temporal scales." Thesis, University of Nottingham, 2015. http://eprints.nottingham.ac.uk/33056/.

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Visual tracking is the task of repeatedly inferring the state (position, motion, etc.) of the desired target in an image sequence. It is an important scientific problem as humans can visually track targets in a broad range of settings. However, visual tracking algorithms struggle to robustly follow a target in unconstrained scenarios. Among the many challenges faced by visual trackers, two important ones are occlusions and abrupt motion variations. Occlusions take place when (an)other object(s) obscures the camera's view of the tracked target. A target may exhibit abrupt variations in apparent

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16

Wong, Matthew. "Tracking maneuvering target using visual sensor." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ39896.pdf.

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17

Maggio, Emilio. "Monte Carlo methods for visual tracking." Thesis, Queen Mary, University of London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497791.

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18

Nott, Viswajith Karapoondi. "Joint Visual and Wireless Tracking System." UKnowledge, 2009. http://uknowledge.uky.edu/gradschool_theses/592.

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Object tracking is an important component in many applications including surveillance, manufacturing, inventory tracking, etc. The most common approach is to combine a surveillance camera with an appearance-based visual tracking algorithm. While this approach can provide high tracking accuracy, the tracker can easily diverge in environments where there are much occlusions. In recent years, wireless tracking systems based on different frequency ranges are becoming more popular. While systems using ultra-wideband frequencies suffer similar problems as visual systems, there are systems that use f

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19

Luo, Tao, and 羅濤. "Human visual tracking in surveillance video." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206727.

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Visual surveillance in dynamic scenes, especially for human activities, is one of the current challenging research topics in computer vision. It is a key technology to fight against terrorism and crime to ensure public safety. The motivation of this thesis is to design an efficient human visual tracking system for video surveillance deployed in complex environments. In video surveillance, detection of moving objects is the first step to analyze the video streams. And motion segmentation is one of popular approaches to do it. In this thesis, we propose a motion segmentation method to overcom

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20

North, Ben. "Learning dynamical models for visual tracking." Thesis, University of Oxford, 1998. http://ora.ox.ac.uk/objects/uuid:6ed12552-4c30-4d80-88ef-7245be2d8fb8.

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Using some form of dynamical model in a visual tracking system is a well-known method for increasing robustness and indeed performance in general. Often, quite simple models are used and can be effective, but prior knowledge of the likely motion of the tracking target can often be exploited by using a specially-tailored model. Specifying such a model by hand, while possible, is a time-consuming and error-prone process. Much more desirable is for an automated system to learn a model from training data. A dynamical model learnt in this manner can also be a source of useful information in its own

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21

Gladh, Susanna. "Visual Tracking Using Deep Motion Features." Thesis, Linköpings universitet, Datorseende, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-134342.

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Generic visual tracking is a challenging computer vision problem, where the position of a speciﬁed target is estimated through a sequence of frames. The only given information is the initial location of the target. Therefore, the tracker has to adapt and learn any kind of object, which it describes through visual features used to differentiate target from background. Standard appearance features only capture momentary visual information. This master’s thesis investigates the use of deep features extracted through optical ﬂow images processed in a deep convolutional network. The optical ﬂow is

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22

Thanikasalam, Kokul. "Appearance based online visual object tracking." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/130875/1/Kokul_Thanikasalam_Thesis.pdf.

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This thesis presents research contributions to the field of computer vision based visual object tracking. This study investigates appearance based object tracking by using traditional hand-crafted and deep features. The thesis proposes a real-time tracking framework with high accuracy which follows a deep similarity tracking strategy. This thesis also proposes several deep tracking frameworks for high-accuracy tracking and to manage the spatial information loss. The research findings of the study would be able to be used in a range of applications including visual surveillance systems.

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23

DI, NARDO EMANUEL. "ADVANCED METHODOLOGIES FOR VISUAL OBJECT TRACKING." Doctoral thesis, Università degli Studi di Milano, 2022. http://hdl.handle.net/2434/931766.

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Visual Object Tracking is a continuously developing and competitive field in computer vision and machine learning. It is based on the idea of being able to follow any object, unknown up to that moment, in its movements without losing it or letting it run away. It is of fundamental importance to keep under observation a specific object otherwise difficult to track, in particular in very sensitive contexts such as security, more specifically in video surveillance, or autonomously guided or unmanned aerial vehicles (UAV), and in contexts in which it is of great help to perform automated tasks,

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Olsson, Mica. "Visual composition in video games : Visual analyzation using eye-tracking." Thesis, Luleå tekniska universitet, Institutionen för konst, kommunikation och lärande, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64489.

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This thesis studies how classical fine art theory and visual structure can be applied to predict the viewers attention and use eye-tracking as a tool to gather results. Also if eye-tracking is applicable for testing game environments and how the artist can affect the player’s choices and actions. First it will go through classic art theory and visual structure principles such as image composition, working with color, line and shapes and contrasts between them. Based on the theory an experiment is made using several pictures and predict where the viewer would look and find interesting and gave

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Pålsson, Nicholas. "Guiding the viewer using visual components : Eye-tracking for visual analysis." Thesis, Luleå tekniska universitet, Institutionen för konst, kommunikation och lärande, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74563.

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Are there ways to assess the objective value of the image? By first breaking down visual components and visual structure that are commonly used in image construction, this report will try to predict how a audience chooses to view an image. Through eye-tracking technology using a webcam to track the subjects' eye movement, these visual components validation will be tested. The result is presented as heatmaps; which illustrate the point of attention of the audience. The result is then compared with a hypothesis that was compiled in preparation for the examination. The result of the survey shows

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Ali, Saad. "Taming Crowded Visual Scenes." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3593.

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Computer vision algorithms have played a pivotal role in commercial video surveillance systems for a number of years. However, a common weakness among these systems is their inability to handle crowded scenes. In this thesis, we have developed algorithms that overcome some of the challenges encountered in videos of crowded environments such as sporting events, religious festivals, parades, concerts, train stations, airports, and malls. We adopt a top-down approach by first performing a global-level analysis that locates dynamically distinct crowd regions within the video. This knowledge is the

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Larsson, Olof. "Visual-inertial tracking using Optical Flow measurements." Thesis, Linköping University, Automatic Control, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-59970.

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<p> </p><p>Visual-inertial tracking is a well known technique to track a combination of a camera and an inertial measurement unit (IMU). An issue with the straight-forward approach is the need of known 3D points. To by-pass this, 2D information can be used without recovering depth to estimate the position and orientation (pose) of the camera. This Master's thesis investigates the feasibility of using Optical Flow (OF) measurements and indicates the benifits using this approach.</p><p>The 2D information is added using OF measurements. OF describes the visual flow of interest points in the image

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Ergezer, Hamza. "Visual Detection And Tracking Of Moving Objects." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12609098/index.pdf.

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In this study, primary steps of a visual surveillance system are presented: moving object detection and tracking of these moving objects. Background subtraction has been performed to detect the moving objects in the video, which has been taken from a static camera. Four methods, frame differencing, running (moving) average, eigenbackground subtraction and mixture of Gaussians, have been used in the background subtraction process. After background subtraction, using some additional operations, such as morphological operations and connected component analysis, the objects to be tracked have been

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29

Qin, Lei. "Online machine learning methods for visual tracking." Thesis, Troyes, 2014. http://www.theses.fr/2014TROY0017/document.

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Nous étudions le problème de suivi de cible dans une séquence vidéo sans aucune connaissance préalable autre qu'une référence annotée dans la première image. Pour résoudre ce problème, nous proposons une nouvelle méthode de suivi temps-réel se basant sur à la fois une représentation originale de l’objet à suivre (descripteur) et sur un algorithme adaptatif capable de suivre la cible même dans les conditions les plus difficiles comme le cas où la cible disparaît et réapparait dans le scène (ré-identification). Tout d'abord, pour la représentation d’une région de l’image à suivre dans le temps,

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Häger, Gustav. "Improving Discriminative Correlation Filters for Visual Tracking." Thesis, Linköpings universitet, Datorseende, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-125963.

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Generic visual tracking is one of the classical problems in computer vision. In this problem, no prior knowledge of the target is available aside from a bounding box in the initial frame of the sequence. The generic visual tracking is a difficult task due to a number of factors such as momentary occlusions, target rotations, changes in target illumination and variations in the target size. In recent years, discriminative correlation filter (DCF) based trackers have shown promising results for visual tracking. These DCF based methods use the Fourier transform to efficiently calculate detection

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Nassif, Samer Chaker. "Cooperative windowing for real-time visual tracking." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ30107.pdf.

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Turker, Burcu. "Multiple hypothesis tracking for multiple visual targets." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12611837/index.pdf.

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Visual target tracking problem consists of two topics: Obtaining targets from camera measurements and target tracking. Even though it has been studied for more than 30 years, there are still some problems not completely solved. Especially in the case of multiple targets, association of measurements to targets, creation of new targets and deletion of old ones are among those. What is more, it is very important to deal with the occlusion and crossing targets problems suitably. We believe that a slightly modified version of multiple hypothesis tracking can successfully deal with most of the afore

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WESIERSKI, Daniel. "Visual tracking of articulated and flexible objects." Phd thesis, Institut National des Télécommunications, 2013. http://tel.archives-ouvertes.fr/tel-00939073.

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Humans can visually track objects mostly effortlessly. However, it is hard for a computer to track a fast moving object under varying illumination and occlusions, in clutter, and with varying appearance in camera projective space due to its relaxed rigidity or change in viewpoint. Since a generic, precise, robust, and fast tracker could trigger many applications, object tracking has been a fundamental problem of practical importance since the beginnings of computer vision. The first contribution of the thesis is a computationally efficient approach to tracking objects of various shapes and mot

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Kaucic, Robert August. "Lip tracking for audio-visual speech recognition." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360392.

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Khoo, B. E. "A visual, knowledge-based robot tracking system." Thesis, Swansea University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.637791.

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The use of robots is important in many areas of industrial automation. For reliable and safe operation, accurate and precise control of their activities is vital. The current drawback is, however the lack of accurate of position sensors, that are not subject to load variations and wear. Hence there is a need to seek an accurate external sensor that is not subject to such problems. Such external position determination is also important for safety and fault recovery considerations. For example, the sharing of working environments between humans and robots implies that the robot must work inside

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Tosas, Martin. "Visual articulated hand tracking for interactive surfaces." Thesis, University of Nottingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438416.

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Wang, Yiming. "Active visual tracking in multi-agent scenarios." Thesis, Queen Mary, University of London, 2018. http://qmro.qmul.ac.uk/xmlui/handle/123456789/42804.

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Camera-equipped robots (agents) can autonomously follow people to provide continuous assistance in wide areas, e.g. museums and airports. Each agent serves one person (target) at a time and aims to maintain its target centred on the camera's image plane with a certain size (active visual tracking) without colliding with other agents and targets in its proximity. It is essential that each agent accurately estimates the state of itself and that of nearby targets and agents over time (i.e. tracking) to perform collision-free active visual tracking. Agents can track themselves with either on-board

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Du, X. "Visual tracking in robotic minimally invasive surgery." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10047149/.

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Intra-operative imaging and robotics are some of the technologies driving forward better and more effective minimally invasive surgical procedures. To advance surgical practice and capabilities further, one of the key requirements for computationally enhanced interventions is to know how instruments and tissues move during the operation. While endoscopic video captures motion, the complex appearance dynamic effects of surgical scenes are challenging for computer vision algorithms to handle with robustness. Tackling both tissue and instrument motion estimation, this thesis proposes a combined n

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Wesierski, Daniel. "Visual tracking of articulated and flexible objects." Thesis, Evry, Institut national des télécommunications, 2013. http://www.theses.fr/2013TELE0007/document.

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Les humains sont capables de suivre visuellement des objets sans effort. Cependant les algorithmes de vision artificielle rencontrent des limitations pour suivre des objets en mouvement rapide, sous un éclairage variable, en présence d'occultations, dans un environnement complexe ou dont l'apparence varie à cause de déformations et de changements de point de vue. Parce que des systèmes génériques, précis, robustes et rapides sont nécessaires pour de nombreuses d’applications, le suivi d’objets reste un problème pratique important en vision par ordinateur. La première contribution de cette thès

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Woodley, Thomas Edward. "Visual tracking using offline and online learning." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608814.

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Loxam, James Ronald. "Robust filtering for real-time visual tracking." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609503.

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Hoffmann, McElory Roberto. "Stochastic visual tracking with active appearance models." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/1381.

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Thesis (PhD (Applied Mathematics))--University of Stellenbosch, 2009.<br>ENGLISH ABSTRACT: In many applications, an accurate, robust and fast tracker is needed, for example in surveillance, gesture recognition, tracking lips for lip-reading and creating an augmented reality by embedding a tracked object in a virtual environment. In this dissertation we investigate the viability of a tracker that combines the accuracy of active appearancemodels with the robustness of the particle lter (a stochastic process)—we call this combination the PFAAM. In order to obtain a fast system, we suggest l

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Lao, Yuanwei. "Visual Tracking by Exploiting Observations and Correlations." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1269547716.

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Wettermark, Emma, and Linda Berglund. "Multi-Modal Visual Tracking Using Infrared Imagery." Thesis, Linköpings universitet, Datorseende, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176540.

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Generic visual object tracking is the task of tracking one or several objects in all frames in a video, knowing only the location and size of the target in the initial frame. Visual tracking can be carried out in both the infrared and the visual spectrum simultaneously, this is known as multi-modal tracking. Utilizing both spectra can result in a more diverse tracker since visual tracking in infrared imagery makes it possible to detect objects even in poor visibility or in complete darkness. However, infrared imagery lacks the number of details that are present in visual images. A common metho

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Johnander, Joakim. "Visual Tracking with Deformable Continuous Convolution Operators." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138597.

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Visual Object Tracking is the computer vision problem of estimating a target trajectory in a video given only its initial state. A visual tracker often acts as a component in the intelligent vision systems seen in for instance surveillance, autonomous vehicles or robots, and unmanned aerial vehicles. Applications may require robust tracking performance on difﬁcult sequences depicting targets undergoing large changes in appearance, while enforcing a real-time constraint. Discriminative correlation ﬁlters have shown promising tracking performance in recent years, and consistently improved state-

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Kilic, V. "Audio-visual tracking of multiple moving speakers." Thesis, University of Surrey, 2016. http://epubs.surrey.ac.uk/809761/.

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In this thesis, a novel approach is proposed for multi-speaker tracking by integrating audio and visual data in a particle filtering (PF) framework. This approach is further improved for adaptive estimation of two critical parameters of the PF, namely, the number of particles and noise variance, based on tracking error and the area occupied by the particles in the image. Here, it is assumed that the number of speakers is known and constant during the tracking. To relax this assumption, the random finite set (RFS) theory is used due to its ability in dealing with the problem of tracking a varia

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Wu, Zheng. "Occlusion reasoning for multiple object visual tracking." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12892.

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Thesis (Ph.D.)--Boston University<br>Occlusion reasoning for visual object tracking in uncontrolled environments is a challenging problem. It becomes significantly more difficult when dense groups of indistinguishable objects are present in the scene that cause frequent inter-object interactions and occlusions. We present several practical solutions that tackle the inter-object occlusions for video surveillance applications. In particular, this thesis proposes three methods. First, we propose "reconstruction-tracking," an online multi-camera spatial-temporal data association method for track

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Allouche, Mohamed. "Video tracking for marketing applications." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAS033.

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Au cours des dernières décennies, la production et la consommation de vidéos ont considérablement augmenté et il est communément admis que 80 % du trafic Internet est constitué de vidéos. Dans ce cadre, les vidéos de marketing sont encore dominées par le contenu payant (c'est-à-dire le contenu créé par l'annonceur qui paie un annonceur pour distribuer ce contenu). Cependant, le contenu vidéo organique progresse lentement mais sûrement. Le terme « contenu organique » fait référence à un contenu dont la création et/ou la distribution n'est pas payante. Dans la plupart des cas, il s'agit d'un con

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Firouzi, Hadi. "Visual non-rigid object tracking in dynamic environments." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44629.

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This research presents machine vision techniques to track an object of interest visually in an image sequence in which the target appearance, scale, orientation, shape, and position may significantly change over time. The images are captured using a non-stationary camera in a dynamic environment in a gray-scale format, and the initial location of the target is given. The contributions of this thesis include the introduction of two robust object tracking techniques and an adaptive similarity measure which can significantly improve the performance of visual tracking. In the first technique, th

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Campos, TeoÌfilo EmiÌdio de. "3D visual tracking of articulated objects and hands." Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442396.

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