Stochastic Algorithms For Visual Tracking
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Stochastic Algorithms For Visual Tracking
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Author : John MacCormick
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Stochastic Algorithms For Visual Tracking written by John MacCormick and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
A central problem in computer vision is to track objects as they move and deform in a video sequence. Stochastic algorithms -- in particular, particle filters and the Condensation algorithm -- have dramatically enhanced the state of the art for such visual tracking problems in recent years. This book presents a unified framework for visual tracking using particle filters, including the new technique of partitioned sampling which can alleviate the "curse of dimensionality" suffered by standard particle filters. The book also introduces the notion of contour likelihood: a collection of models for assessing object shape, colour and motion, which are derived from the statistical properties of image features. Because of their statistical nature, contour likelihoods are ideal for use in stochastic algorithms. A unifying theme of the book is the use of statistics and probability, which enable the final output of the algorithms presented to be interpreted as the computer's "belief" about the state of the world. The book will be of use and interest to students, researchers and practitioners in computer vision, and assumes only an elementary knowledge of probability theory.
Probabilistic Modelling And Stochastic Algorithms For Visual Localisation And Tracking
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Author : John Philip MacCormick
language : en
Publisher:
Release Date : 2000
Probabilistic Modelling And Stochastic Algorithms For Visual Localisation And Tracking written by John Philip MacCormick and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Image analysis categories.
Online Visual Tracking
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Author : Huchuan Lu
language : en
Publisher: Springer
Release Date : 2019-05-30
Online Visual Tracking written by Huchuan Lu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-30 with Computers categories.
This book presents the state of the art in online visual tracking, including the motivations, practical algorithms, and experimental evaluations. Visual tracking remains a highly active area of research in Computer Vision and the performance under complex scenarios has substantially improved, driven by the high demand in connection with real-world applications and the recent advances in machine learning. A large variety of new algorithms have been proposed in the literature over the last two decades, with mixed success. Chapters 1 to 6 introduce readers to tracking methods based on online learning algorithms, including sparse representation, dictionary learning, hashing codes, local model, and model fusion. In Chapter 7, visual tracking is formulated as a foreground/background segmentation problem, and tracking methods based on superpixels and end-to-end deep networks are presented. In turn, Chapters 8 and 9 introduce the cutting-edge tracking methods based on correlation filter and deep learning. Chapter 10 summarizes the book and points out potential future research directions for visual tracking. The book is self-contained and suited for all researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, and machine learning. It will help these readers grasp the insights provided by cutting-edge research, and benefit from the practical techniques available for designing effective visual tracking algorithms. Further, the source codes or results of most algorithms in the book are provided at an accompanying website.
Data Association For Multi Object Visual Tracking
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Author : Margrit Betke
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Data Association For Multi Object Visual Tracking written by Margrit Betke and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
In the human quest for scientific knowledge, empirical evidence is collected by visual perception. Tracking with computer vision takes on the important role to reveal complex patterns of motion that exist in the world we live in. Multi-object tracking algorithms provide new information on how groups and individual group members move through three-dimensional space. They enable us to study in depth the relationships between individuals in moving groups. These may be interactions of pedestrians on a crowded sidewalk, living cells under a microscope, or bats emerging in large numbers from a cave. Being able to track pedestrians is important for urban planning; analysis of cell interactions supports research on biomaterial design; and the study of bat and bird flight can guide the engineering of aircraft. We were inspired by this multitude of applications to consider the crucial component needed to advance a single-object tracking system to a multi-object tracking system—data association. Data association in the most general sense is the process of matching information about newly observed objects with information that was previously observed about them. This information may be about their identities, positions, or trajectories. Algorithms for data association search for matches that optimize certain match criteria and are subject to physical conditions. They can therefore be formulated as solving a "constrained optimization problem"—the problem of optimizing an objective function of some variables in the presence of constraints on these variables. As such, data association methods have a strong mathematical grounding and are valuable general tools for computer vision researchers. This book serves as a tutorial on data association methods, intended for both students and experts in computer vision. We describe the basic research problems, review the current state of the art, and present some recently developed approaches. The book covers multi-object tracking in two and three dimensions. We consider two imaging scenarios involving either single cameras or multiple cameras with overlapping fields of view, and requiring across-time and across-view data association methods. In addition to methods that match new measurements to already established tracks, we describe methods that match trajectory segments, also called tracklets. The book presents a principled application of data association to solve two interesting tasks: first, analyzing the movements of groups of free-flying animals and second, reconstructing the movements of groups of pedestrians. We conclude by discussing exciting directions for future research.
Visual Object Tracking Using Deep Learning
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Author : Ashish Kumar (Analyst)
language : en
Publisher:
Release Date : 2023-10
Visual Object Tracking Using Deep Learning written by Ashish Kumar (Analyst) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10 with Algorithms categories.
"The text comprehensively discusses tracking architecture under stochastic and deterministic frameworks and presents experimental results under each framework with qualitative and quantitative analysis. It covers deep learning techniques for feature extraction, template matching, and training the networks in tracking algorithms"--
Visual Object Tracking Using Deep Learning
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Author : Ashish Kumar
language : en
Publisher:
Release Date : 2023-10
Visual Object Tracking Using Deep Learning written by Ashish Kumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10 with Algorithms categories.
The text comprehensively discusses tracking architecture under stochastic and deterministic frameworks and presents experimental results under each framework with qualitative and quantitative analysis. It covers deep learning techniques for feature extraction, template matching, and training the networks in tracking algorithms. Discusses performance metrics for visual tracking in comparing the efficiency and effectiveness of available datasets. Covers performance metrics such as center location error, F-Measure, area under control, distance precision, and overlap precision. Compares the performance of deep learning trackers with traditional methods, wherein hand-crafted features were fused to reduce the computational complexity. Illustrates stochastic framework for visual tracking such as probabilistic methods in the Bayesian framework for state estimation. The text presents both traditional and advanced methods such as stochastic, deterministic, generative, discriminative framework, and deep learning-based appearance models. It further highlights the use of deep learning for feature extraction, template matching, and training the networks in tracking algorithms. The book covers context-aware, and super pixel-based correlation filter tracking. The text is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
Articulated Motion And Deformable Objects
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Author : Francisco J. Perales
language : en
Publisher: Springer
Release Date : 2004-08-20
Articulated Motion And Deformable Objects written by Francisco J. Perales and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-20 with Computers categories.
The AMDO 2004 workshop took place at the Universitat de les Illes Balears (UIB) on 22-24 September, 2004, institutionally sponsored by the International Association for Pattern Recognition (IAPR), the MCYT (Comision Interm- isterial de Ciencia y Tecnologia, Spanish Government), the AERFAI (Spanish Association for Pattern Recognition and Image Analysis), the EG (Eurogra- ics Association) and the Mathematics and Computer Science Department of the UIB. Also important commercial sponsors collaborated with practical dem- strations; the main contributors were: Barco Electronics Systems (Title Sp- sor), VICOM Tech, ANDROME Iberica, CESA and TAGrv. The subject of the workshop was ongoing research in articulated motion on a sequence of images and sophisticated models for deformable objects. The goals of these areas are to understand and interpret the motion of complex objects that can be found in sequences of images in the real world. The main topics considered priorities are: deformable models, motion analysis, articulated models and animation, visualization of deformable models, 3D recovery from motion, single or multiple human motion analysis and synthesis, applications of deformable models and motion analysis, face tracking, recovery and recognition models, and virtual and augmented reality systems.
Stochastic Algorithm Approach To Visualization And Tracking
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Author : Fahad Rasool Dar
language : en
Publisher:
Release Date : 2012
Stochastic Algorithm Approach To Visualization And Tracking written by Fahad Rasool Dar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Gesture In Human Computer Interaction And Simulation
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Author : Sylvie Gibet
language : en
Publisher: Springer
Release Date : 2006-02-15
Gesture In Human Computer Interaction And Simulation written by Sylvie Gibet and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-15 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the 6th International Workshop on Gesture in Human-Computer Interaction and Simulation, GW 2005, held in May 2005. The 22 revised long papers and 14 revised short papers presented together with 2 invited lectures were carefully selected from numerous submissions during two rounds of reviewing and improvement. The papers are organized in topical sections on human perception and production of gesture, sign language representation, sign language recognition, vision-based gesture recognition, gesture analysis, gesture synthesis, gesture and music, and gesture interaction in multimodal systems.
Audio Visual Person Tracking A Practical Approach
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Author : Fotios Talantzis
language : en
Publisher: World Scientific
Release Date : 2011-12-23
Audio Visual Person Tracking A Practical Approach written by Fotios Talantzis and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-23 with Computers categories.
This book deals with the creation of the algorithmic backbone that enables a computer to perceive humans in a monitored space. This is performed using the same signals that humans process, i.e., audio and video. Computers reproduce the same type of perception using sensors and algorithms in order to detect and track multiple interacting humans, by way of multiple cues, like bodies, faces or speech. This application domain is challenging, because audio and visual signals are cluttered by both background and foreground objects. First, particle filtering is established as the framework for tracking. Then, audio, visual and also audio-visual tracking systems are separately explained. Each modality is analyzed, starting with sensor configuration, detection for tracker initialization and the trackers themselves. Techniques to fuse the modalities are then considered. Instead of offering a monolithic approach to the tracking problem, this book also focuses on implementation by providing MATLAB code for every presented component. This way, the reader can connect every concept with corresponding code. Finally, the applications of the various tracking systems in different domains are studied./a