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Dissertations / Theses on the topic 'Mean shift algorithm'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Hu, Ting. "Convergence of the mean shift algorithm and its generalizations." Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4925.

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Mean shift is an effective iterative algorithm widely used in image analysis tasks like tracking, image segmentation, smoothing, filtering, edge detection and etc. It iteratively estimates the modes of the probability function of a set of sample data points based in a region. Mean shift was invented in 1975, but it was not widely used until the work by Cheng in 1995. After that, it becomes popular in computer vision. However the convergence, a key character of any iterative algorithm, has been rigorously proved only very recently, but with strong assumptions. In this thesis, the method of mean

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Xie, Qing Yan. "K-Centers Dynamic Clustering Algorithms and Applications." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384427644.

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MAHAJANI, RASIKA. "APPLICATION OF THE MEAN SHIFT ALGORITHM ON CLUSTERS OF ORTHOLOGOUS GROUPS AND PHYLOGENETIC IMPLICATIONS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1131646726.

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Klvaňa, Marek. "Sledování vybraného objektu v dynamickém obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229705.

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The aim of this thesis is a description and implementation of algorithms of the tracked objects in the video feed. This thesis introduces Mean shift and Continuously adaptive mean shift algorithms which represent category based on kernel tracking. For construction of a model is used a threedimensional color histogram whose construction is described in this thesis as well. The achievements of described algorithms are compared in the testing images sequences and evaluated in details.

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Carli, Daniel Michelon de. "GERAÇÃO PROCEDURAL DE CENÁRIOS 3D DE CÂNIONS COM FOCO EM JOGOS DIGITAIS." Universidade Federal de Santa Maria, 2012. http://repositorio.ufsm.br/handle/1/5394.

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This Master s thesis proposes a non-assisted procedural method for 3D canyons scenes generation based on techniques of computer graphics, computer vision and graph search algorithm. In order to define all the features to be reproduced in our scenes, we have analyzed several images of real canyons and have categorized them in two canyon features models: a recursive and an ordinary one. The proposed approach manipulates a heightmap, created using Perlin noise, in order to imitate the geological features formation previously analyzed. Several parametrizations are used to guide and constraint the

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Savas, Zafer. "Real-time Detection And Tracking Of Human Eyes In Video Sequences." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606459/index.pdf.

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Robust, non-intrusive human eye detection problem has been a fundamental and challenging problem for computer vision area. Not only it is a problem of its own, it can be used to ease the problem of finding the locations of other facial features for recognition tasks and human-computer interaction purposes as well. Many previous works have the capability of determining the locations of the human eyes but the main task in this thesis is not only a vision system with eye detection capability<br>Our aim is to design a real-time, robust, scale-invariant eye tracker system with human eye movement in

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Naeem, Asad. "Single and multiple target tracking via hybrid mean shift/particle filter algorithms." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/12699/.

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This thesis is concerned with single and multiple target visual tracking algorithms and their application in the real world. While they are both powerful and general, one of the main challenges of tracking using particle filter-based algorithms is to manage the particle spread. Too wide a spread leads to dispersal of particles onto clutter, but limited spread may lead to difficulty when fast-moving objects and/or high-speed camera motion throw trackers away from their target(s). This thesis addresses the particle spread management problem. Three novel tracking algorithms are presented, each of

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Bilgin, Arda. "Selection And Fusion Of Multiple Stereo Algorithms For Accurate Disparity Segmentation." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12610133/index.pdf.

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Fusion of multiple stereo algorithms is performed in order to obtain accurate disparity segmentation. Reliable disparity map of real-time stereo images is estimated and disparity segmentation is performed for object detection purpose. First, stereo algorithms which have high performance in real-time applications are chosen among the algorithms in the literature and three of them are implemented. Then, the results of these algorithms are fused to gain better performance in disparity estimation. In fusion process, if a pixel has the same disparity value in all algorithms, that disparity value is

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Elsayed, Elawady Mohamed. "Reflection Symmetry Detection in Images : Application to Photography Analysis." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSES006/document.

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La symétrie est une propriété géométrique importante en perception visuelle qui traduit notre perception des correspondances entre les différents objets ou formes présents dans une scène. Elle est utilisée comme élément caractéristique dans de nombreuses applications de la vision par ordinateur (comme par exemple la détection, la segmentation ou la reconnaissance d'objets) mais également comme une caractéristique formelle en sciences de l'art (ou en analyse esthétique). D’importants progrès ont été réalisés ces dernières décennies pour la détection de la symétrie dans les images mais il reste

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Kyrgyzov, Ivan. "Recherche dans les bases de donnees satellitaires des paysages et application au milieu urbain: clustering, consensus et categorisation." Phd thesis, Télécom ParisTech, 2008. http://pastel.archives-ouvertes.fr/pastel-00004084.

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Les images satellitaires ont trouvées une large application pour l'analyse des ressources naturelles et des activités humaines. Les images à haute résolution, e.g., SPOT5, sont très nombreuses. Ceci donne un grand intérêt afin de développer de nouveaux aspects théoriques et des outils pour la fouille d'images. L'objectif de la thèse est la fouille non-supervisée d'images et inclut trois parties principales. Dans la première partie nous démontrons le contenu d'images à haute résolution. Nous décrivons les zones d'images par les caractéristiques texturelles et géométriques. Les algorithmes de cl

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Hussain, Zahir M. "Adaptive instantaneous frequency estimation: Techniques and algorithms." Thesis, Queensland University of Technology, 2002. https://eprints.qut.edu.au/36137/7/36137_Digitised%20Thesis.pdf.

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This thesis deals with the problem of the instantaneous frequency (IF) estimation of sinusoidal signals. This topic plays significant role in signal processing and communications. Depending on the type of the signal, two major approaches are considered. For IF estimation of single-tone or digitally-modulated sinusoidal signals (like frequency shift keying signals) the approach of digital phase-locked loops (DPLLs) is considered, and this is Part-I of this thesis. For FM signals the approach of time-frequency analysis is considered, and this is Part-II of the thesis. In part-I we have uti

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Chang, Yao-ling, and 張曜麟. "A Segment-based Mean-Shift Tracking Algorithm." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/46657834303583962121.

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碩士<br>義守大學<br>資訊工程學系碩士班<br>97<br>It is the popular method that D. Comaniciu proposed about the object tracking. But the method has two problems. First, if the target’s area big enough, the tracking system must process many data and it will not sure the system can track in time. Second, to process each pixel, it means that the noise also calculate in the system. For the two disadvantages, we take the method to build segments from the target and we use the medoid to be the feature point. It is not only can discrete feature points, but also to prevent the noise involving the system, and then, hop

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Syu, Sian-Hao, and 許憲豪. "Texture Segmentation Based on Mean-Shift Filtering Algorithm." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/51803165630648665287.

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碩士<br>逢甲大學<br>通訊工程所<br>96<br>The purpose of this thesis is to develop a texture segmentation scheme based on a mean-shift filtering algorithm. A series of operations including Gabor filtering, normalization by nonlinear transformation, and post-smooth-filtering is applied to extract texture features. The dimensions of texture features are reduced by the principal component analysis method. This process facilitates the subsequent clustering algorithm in generation of a labeled texture image. The major contribution of the research is to supersede the standard Gaussian post-smooth-filtering by a

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Chan, Chang-Jan, and 陳政仁. "Object Tracking by Using SIFT and Mean Shift Algorithm." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/76212899116221448245.

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碩士<br>聖約翰科技大學<br>資訊工程系碩士班<br>101<br>Object tracking research has been taken as important and challenging issues in the field of image processing. Sometimes the accuracy rate might be unacceptable due to the noise in images, complex object shapes, various object motion, scene illumination changes, partial or full object occlusions, and loss of information caused by projection of the three-dimensional space on a 2D image. There were several proposed methodologies for object tracking, such as Region-Based Tracking, Active Contour-Based Tracking, Feature-Based Tracking, and Model-Based Tracking. H

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Kumar, Chitturi Vinod. "Longshot Football Detection and Tracking Using Mean Shift Algorithm." Thesis, 2015. http://ethesis.nitrkl.ac.in/7784/1/2015_Mtech_Longsht_Kumar.pdf.

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The soccer video analysis has a lot of importance these days commercially. There are many challenges in making the soccer video automatically analyzed. The automatic analysis is highly useful in analyzing player performance, computer assisted referee and tactics inference. In this thesis, we have proposed distinct methods to capture the ball movements there by ending which team has the control on the ball for most of the time. Distinct methods mean different methods for detection, tracking and to find the control. In the detection to identify the location of the ball, we have proposed a 9 step

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Parajuli, Abhishek. "Evaluation of mean shift algorithm as applied to image segmentation." 2007. http://digital.library.okstate.edu/etd/umi-okstate-2530.pdf.

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陳建廷. "3D Object Mean-shift Tracking Algorithm with Online Template Database Construction." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/845j3s.

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碩士<br>國立交通大學<br>電控工程研究所<br>101<br>In this thesis, a target model updating method based on 3-D mean-shift tracking algorithm is proposed. The algorithm is aimed at reducing the influence of complex and dynamic background. It uses principal component analysis to estimate the size and rotation of the target in 3-Dimensions. With the 3-D spatial information and new target model updating method, this algorithm outperforms other target model updating methods such as traditional Mean-Shift and 3-D Mean-Shift. The method consists of a set of rules to construct online template database. These results i

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Lin, Yong-Yuan, and 林永淵. "Video Object Tracking using Mean-Shift Algorithm with Adaptive Target Model." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/79669014619972281165.

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碩士<br>國立東華大學<br>資訊工程學系<br>94<br>We present a video object tracking algorithm based on a mean-shift algorithm with an adaptive target model that can distinguish a target object from its surrounding background. The target model records a relative likelihood ratio of the feature attributions between the target object and the surrounding background. Moreover, the target model is dynamically updated to reflect the changes of the probability density function of the tracking object. An energy-log-likelihood ratio test is applied to compute the confidences of new features in the video sequence. A segm

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Jiang, Wan-Ciang, and 江萬強. "Human Tracking Using Flattened Cylindrical Template based on Mean Shift Algorithm." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/17517530483633879333.

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碩士<br>國立東華大學<br>資訊工程學系<br>94<br>Vision-based human tracking is a popular research area and has many practical applications. Several issues are critical in tracking such as occlusion, scaling, rotation, illumination, recognition, and efficiency. We propose a fast and robust people tracking system based on Flattened Cylindrical Template (FCT). The FCT models the color information of a person’s body with a view of 360 degrees. People are tracked using the mean shift algorithm and their FCTs are built on the fly. Once the full FCT of a person is constructed, a dynamic target model can be adaptivel

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Chang, Hao-Shiu, and 張豪修. "A Mean-Shift Video Object Tracking Algorithm Based on Fuzzy Clustering." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/31027298757261755864.

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碩士<br>義守大學<br>資訊工程學系碩士班<br>95<br>With the popularization of video products and the rapid progress in visual techniques in recent years, the computer systems with video object tracking technology have been applied in various fields in daily life, such as surveillance systems, intelligent traffic control systems, parking lot management systems, and so on. The computer visual systems not only replace manpower in a large number of traditional jobs but also can avoid the errors induced from human tiredness. Meanwhile, it has the ability to timely report back the accident, therefore the time costs o

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Aliyari, Ghassabeh Youness. "ON THE CONVERGENCE AND APPLICATIONS OF MEAN SHIFT TYPE ALGORITHMS." Thesis, 2013. http://hdl.handle.net/1974/8365.

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Mean shift (MS) and subspace constrained mean shift (SCMS) algorithms are non-parametric, iterative methods to find a representation of a high dimensional data set on a principal curve or surface embedded in a high dimensional space. The representation of high dimensional data on a principal curve or surface, the class of mean shift type algorithms and their properties, and applications of these algorithms are the main focus of this dissertation. Although MS and SCMS algorithms have been used in many applications, a rigorous study of their convergence is still missing. This dissertation aims

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Chiang, Tsung-Kang, and 蔣宗剛. "An Improved Mean Shift Algorithm Based Tracking System for Soccer Game Analysis." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/41669495043248836040.

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碩士<br>國立中正大學<br>資訊工程所<br>96<br>Object tracking is an important topic in computer vision applications. In this study, an improved mean shift algorithm based tracking system with motion prediction and object window enlarging for soccer game analysis is proposed. The objective of the proposed system is to track soccer players efficiently and accurately. Discriminative color selection for modeling soccer players is employed in the proposed system. Occlusions are well handled in the proposed system, whereas incoming and outgoing players are also detected and handled in the proposed system. Based on

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Yen-WenWang and 王彥文. "3D Point-Cloud Surface Reconstruction by Using KD-Tree-Based Mean Shift Algorithm." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/57728763484312330915.

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碩士<br>國立成功大學<br>資訊工程學系<br>104<br>This thesis presents a system to mainly process 3D surface reconstruction of scroll. Mainly process noise, and other thesis processing method is removing noise, but our method is noise reservation and reduction that can reserve truth of the information. The system consists of two subsystems: 1) 3D structured light reconstruction system 2) 3D Point-Cloud Surface Reconstruction by Using KD-Tree-Based Mean Shift Algorithm. The first subsystem will reconstruct 3D object surface of point cloud using structured light. Before reconstruction, DLP and camera parameters

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Chung-Wei, Juan, and 阮崇維. "A New Spatial-Color Mean-Shift Object Tracking Algorithm with Scale and Orientation Estimation." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/99549411591277769573.

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碩士<br>國立交通大學<br>電機與控制工程系所<br>95<br>In this thesis, we propose the new mean-shift tracking algorithms based on a new similarity measure function. The joint spatial-color feature is used as our basic model elements. The target image is modeled with the kernel density estimation and we use the concept of expectation of the estimated kernel density to develop the new similarity measure functions. With these new similarity measure functions, two new similarity-based mean-shift tracking algorithms were derived. To enhance the robustness, we add the weighted-background information to the proposed mea

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Palma, Freida Consuelo, and 馬飛和. "Pedestrian Detection And Tracking Using Mean Shift Algorithm And A Human Eigen Shape Model." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/35594951048350598279.

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碩士<br>國立清華大學<br>資訊系統與應用研究所<br>95<br>A new approach to human tracking was developed through the use of a popular statistical model, known as Principal Component Analysis, for constructing the human eigen-shape model in conjunction with the mean shift tracking algorithm. The regular mean shift tracker focuses on tracking through the use of the rectangle shape. The new approach focuses on using a more precise estimation of a human shape to track the human throughout a video sequence. The entire paper focuses on the localization of human; identification of the human; tracking the identified human

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Wang, Huan-ciao, and 王煥樵. "The Implementation of a Real-Time Automatic Motion Tracking System Based on Mean Shift Algorithm." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/s2qu3a.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>95<br>Motion detection and object tracking are very popular research in the field of computer vision all the time. The achievements of the research can be widely applied to some specific field. However, most of digital image process systems are based on personal computer. Image materials should be captured by the CPU. Moreover, the CPU has to run Windows Operating System as well. These procedures often cause huge loading of the CPU and lower efficiency of the system. Because there are many benefits when using Digital Signal Processors (DSP), not only are DSP-based sy

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Zheng, Yuan-Song, and 鄭源松. "A Real-time Embedded Implementation of Modified Mean-shift Algorithm for Multi-target Visual Tracking." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/27642622059188183782.

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Hsun-Wei, Lin, and 林訓緯. "Real Time Tracking System for Specific Moving Object under Dynamic Background Using Modified Mean-Shift Algorithm." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/62178182741763002425.

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碩士<br>國立交通大學<br>電機與控制工程系所<br>95<br>This thesis presents a study of a smooth tracking system for non-rigidity moving object using modified mean-shift algorithm implemented on an active pan-tilt-zoom camera. In our approach, the system is divided into three parts: moving object detection module, modified mean-shift tracking module including position tracking and size selecting algorithm, and an automatic pan-tilt-zoom camera control system. We detect the moving object by frame difference method plus some image processing techniques, such as erosion, dilation and image projection, and use HSV col

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Gan, Guojun. "Subspace clustering based on fuzzy models and mean shifts /." 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR29494.

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Thesis (Ph.D.)--York University, 2007. Graduate Programme in Mathematics and Statistics.<br>Typescript. Includes bibliographical references (leaves 192-206) and index. Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR29494

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Yu, Xiaxia. "HIV Drug Resistant Prediction and Featured Mutants Selection using Machine Learning Approaches." 2014. http://scholarworks.gsu.edu/cs_diss/88.

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HIV/AIDS is widely spread and ranks as the sixth biggest killer all over the world. Moreover, due to the rapid replication rate and the lack of proofreading mechanism of HIV virus, drug resistance is commonly found and is one of the reasons causing the failure of the treatment. Even though the drug resistance tests are provided to the patients and help choose more efficient drugs, such experiments may take up to two weeks to finish and are expensive. Because of the fast development of the computer, drug resistance prediction using machine learning is feasible. In order to accurately predict th

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Τσάμπρας, Λάμπρος. "Κατηγοροποίηση μαγνητικών τομογραφιών με DSPs". Thesis, 2014. http://hdl.handle.net/10889/8282.

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Είναι ενδιαφέρουσα αλλά συνάμα δύσκολη η ανάλυση ιατρικών εικόνων, επειδή υπάρχουν πολύ μικρές διακυμάνσεις και μεγάλος όγκος δεδομένων για επεξεργασία. Είναι αρκετά δύσκολο να αναπτυχθεί ένα αυτοματοποιημένο σύστημα αναγνώρισης, το οποίο θα μπορούσε να επεξεργάζεται μεγάλο όγκο πληροφοριών των ασθενών και να παρέχει μια σωστή εκτίμηση. Στην ιατρική, η συμβατική διαγνωστική μέθοδος για εικόνες MR γονάτου για αναγνώριση ανωμαλιών, είναι από την επίβλεψη έμπειρων ιατρών. Η τεχνική της ασαφούς λογικής είναι πιο ακριβής, αλλά αυτό εξαρτάται πλήρως από τη γνώση των εμπειρογνωμόνων, η οποία μπορεί ν

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