Statistical Methods And Models For Video Based Tracking Modeling And Recognition

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Statistical Methods and Models for Video-based Tracking, Modeling, and Recognition

Rama Chellappa,Aswin C. Sankaranarayanan,Ashok Veeraraghavan,Pavan Turaga
Statistical Methods and Models for Video based Tracking Modeling and Recognition Book PDF

Author : Rama Chellappa,Aswin C. Sankaranarayanan,Ashok Veeraraghavan,Pavan Turaga
Publisher : Now Publishers Inc
Page : 165 pages
File Size : 47,6 Mb
Release : 2010
Category : Computers
ISBN : 9781601983145

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Statistical Methods and Models for Video-based Tracking, Modeling, and Recognition by Rama Chellappa,Aswin C. Sankaranarayanan,Ashok Veeraraghavan,Pavan Turaga Pdf

Computer vision systems attempt to understand a scene and its components from mostly visual information. The geometry exhibited by the real world, the influence of material properties on scattering of incident light, and the process of imaging introduce constraints and properties that are key to solving some of these tasks. In the presence of noisy observations and other uncertainties, the algorithms make use of statistical methods for robust inference. In this paper, we highlight the role of geometric constraints in statistical estimation methods, and how the interplay of geometry and statistics leads to the choice and design of algorithms. In particular, we illustrate the role of imaging, illumination, and motion constraints in classical vision problems such as tracking, structure from motion, metrology, activity analysis and recognition, and appropriate statistical methods used in each of these problems.

Computer Vision

Richard Szeliski
Computer Vision Book PDF

Author : Richard Szeliski
Publisher : Springer Nature
Page : 925 pages
File Size : 48,9 Mb
Release : 2022-01-03
Category : Computers
ISBN : 9783030343729

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Computer Vision by Richard Szeliski Pdf

Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles. Topics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Machine Learning for Vision-Based Motion Analysis

Liang Wang,Guoying Zhao,Li Cheng,Matti Pietikäinen
Machine Learning for Vision Based Motion Analysis Book PDF

Author : Liang Wang,Guoying Zhao,Li Cheng,Matti Pietikäinen
Publisher : Springer Science & Business Media
Page : 377 pages
File Size : 47,5 Mb
Release : 2010-11-18
Category : Computers
ISBN : 9780857290571

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Machine Learning for Vision-Based Motion Analysis by Liang Wang,Guoying Zhao,Li Cheng,Matti Pietikäinen Pdf

Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions. Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets. Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.

Statistical Methods in Video Processing

Dorin Comaniciu,Kenichi Kanatani,Rudolf Mester,David Suter
Statistical Methods in Video Processing Book PDF

Author : Dorin Comaniciu,Kenichi Kanatani,Rudolf Mester,David Suter
Publisher : Springer Science & Business Media
Page : 207 pages
File Size : 45,5 Mb
Release : 2004-12-16
Category : Computers
ISBN : 9783540239895

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Statistical Methods in Video Processing by Dorin Comaniciu,Kenichi Kanatani,Rudolf Mester,David Suter Pdf

The 2nd International Workshop on Statistical Methods in Video Processing, SMVP 2004, was held in Prague, Czech Republic, as an associated workshop of ECCV 2004, the 8th European Conference on Computer Vision. A total of 30 papers were submitted to the workshop. Of these, 17 papers were accepted for presentation and included in these proceedings, following a double-blind review process. The workshop had 42 registered participants. The focus of the meeting was on recent progress in the application of - vanced statistical methods to solve computer vision tasks. The one-day scienti?c program covered areas of high interest in vision research, such as dense rec- struction of 3D scenes, multibody motion segmentation, 3D shape inference, errors-in-variables estimation, probabilistic tracking, information fusion, optical ?owcomputation,learningfornonstationaryvideodata,noveltydetectionin- namic backgrounds, background modeling, grouping using feature uncertainty, and crowd segmentation from video. We wish to thank the authors of all submitted papers for their interest in the workshop.Wealsowishtothankthemembersofourprogramcommitteeandthe external reviewers for their commitment of time and e?ort in providing valuable recommendations for each submission. We are thankful to Vaclav Hlavac, the General Chair of ECCV 2004, and to Radim Sara, for the local organization of the workshop and registration management. We hope you will ?nd these proceedings both inspiring and of high scienti?c quality.

MultiMedia Modeling

Laurent Amsaleg,Gylfi Þór Guðmundsson,Cathal Gurrin,Björn Þór Jónsson,Shin’ichi Satoh
MultiMedia Modeling Book PDF

Author : Laurent Amsaleg,Gylfi Þór Guðmundsson,Cathal Gurrin,Björn Þór Jónsson,Shin’ichi Satoh
Publisher : Springer
Page : 523 pages
File Size : 44,5 Mb
Release : 2016-12-30
Category : Computers
ISBN : 9783319518145

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MultiMedia Modeling by Laurent Amsaleg,Gylfi Þór Guðmundsson,Cathal Gurrin,Björn Þór Jónsson,Shin’ichi Satoh Pdf

The two-volume set LNCS 10132 and 10133 constitutes the thoroughly refereed proceedings of the 23rd International Conference on Multimedia Modeling, MMM 2017, held in Reykjavik, Iceland, in January 2017. Of the 149 full papers submitted, 36 were selected for oral presentation and 33 for poster presentation; of the 34 special session papers submitted, 24 were selected for oral presentation and 2 for poster presentation; in addition, 5 demonstrations were accepted from 8 submissions, and all 7 submissions to VBS 2017. All papers presented were carefully reviewed and selected from 198 submissions. MMM is a leading international conference for researchers and industry practitioners for sharing new ideas, original research results and practical development experiences from all MMM related areas, broadly falling into three categories: multimedia content analysis; multimedia signal processing and communications; and multimedia applications and services.

Computer Vision - ECCV 2008

David Forsyth,Philip Torr,Andrew Zisserman
Computer Vision ECCV 2008 Book PDF

Author : David Forsyth,Philip Torr,Andrew Zisserman
Publisher : Springer
Page : 891 pages
File Size : 45,6 Mb
Release : 2008-10-11
Category : Computers
ISBN : 9783540886938

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Computer Vision - ECCV 2008 by David Forsyth,Philip Torr,Andrew Zisserman Pdf

Welcome to the 2008EuropeanConference onComputer Vision. These proce- ings are the result of a great deal of hard work by many people. To produce them, a total of 871 papers were reviewed. Forty were selected for oral pres- tation and 203 were selected for poster presentation, yielding acceptance rates of 4.6% for oral, 23.3% for poster, and 27.9% in total. Weappliedthreeprinciples.First,sincewehadastronggroupofAreaChairs, the ?nal decisions to accept or reject a paper rested with the Area Chair, who wouldbeinformedbyreviewsandcouldactonlyinconsensuswithanotherArea Chair. Second, we felt that authors were entitled to a summary that explained how the Area Chair reached a decision for a paper. Third, we were very careful to avoid con?icts of interest. Each paper was assigned to an Area Chair by the Program Chairs, and each Area Chair received a pool of about 25 papers. The Area Chairs then identi?ed and rankedappropriatereviewersfor eachpaper in their pool, and a constrained optimization allocated three reviewers to each paper. We are very proud that every paper received at least three reviews. At this point, authors were able to respond to reviews. The Area Chairs then needed to reach a decision. We used a series of procedures to ensure careful review and to avoid con?icts of interest. ProgramChairs did not submit papers. The Area Chairs were divided into three groups so that no Area Chair in the group was in con?ict with any paper assigned to any Area Chair in the group.

Image Analysis and Recognition

Mohamed Kamel
Image Analysis and Recognition Book PDF

Author : Mohamed Kamel
Publisher : Springer Science & Business Media
Page : 1333 pages
File Size : 40,8 Mb
Release : 2007-08-07
Category : Computers
ISBN : 9783540742586

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Image Analysis and Recognition by Mohamed Kamel Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Image Analysis and Recognition, ICIAR 2007, held in Montreal, Canada, in August 2007. The 71 revised full papers and 44 revised poster papers presented were carefully reviewed and selected from 261 submissions. The papers are organized in topical sections on image restoration and enhancement, image and video processing and analysis, image segmentation, computer vision, pattern recognition for image analysis, shape and matching, motion analysis, tracking, image retrieval and indexing, image and video coding and encryption, biometrics, biomedical image analysis, and applications.

2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems

Chuanchao Huang,Yu-Wei Chan,Neil Yen
2020 International Conference on Data Processing Techniques and Applications for Cyber Physical Systems Book PDF

Author : Chuanchao Huang,Yu-Wei Chan,Neil Yen
Publisher : Springer Nature
Page : 1669 pages
File Size : 51,9 Mb
Release : 2021-06-01
Category : Technology & Engineering
ISBN : 9789811617263

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2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems by Chuanchao Huang,Yu-Wei Chan,Neil Yen Pdf

This book covers cutting-edge and advanced research on data processing techniques and applications for cyber-physical systems, gathering the proceedings of the International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2020), held in Laibin City, Guangxi Province, China, on December 11–12, 2020. It examines a wide range of topics, including distributed processing for sensor data in CPS networks; approximate reasoning and pattern recognition for CPS networks; data platforms for efficient integration with CPS networks; machine learning algorithms for CPS networks; and data security and privacy in CPS networks. Outlining promising future research directions, the book offers a valuable resource for students, researchers, and professionals alike, while also providing a useful reference guide for newcomers to the field.

Computer Vision - ACCV 2007

Yasushi Yagi,Sing Bing Kang,In So Kweon,Hongbin Zha
Computer Vision ACCV 2007 Book PDF

Author : Yasushi Yagi,Sing Bing Kang,In So Kweon,Hongbin Zha
Publisher : Springer
Page : 915 pages
File Size : 42,9 Mb
Release : 2007-11-14
Category : Computers
ISBN : 9783540763901

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Computer Vision - ACCV 2007 by Yasushi Yagi,Sing Bing Kang,In So Kweon,Hongbin Zha Pdf

This title is part of a two volume set that constitutes the refereed proceedings of the 8th Asian Conference on Computer Vision, ACCV 2007. Coverage includes shape and texture, image and video processing, face and gesture, tracking, camera networks, learning, motion and tracking, retrieval and search, human pose estimation, matching, face/gesture/action detection and recognition, low level vision and phtometory, motion and tracking, human detection, and segmentation.

Face Processing: Advanced Modeling and Methods

Wenyi Zhao,Rama Chellappa
Face Processing Advanced Modeling and Methods Book PDF

Author : Wenyi Zhao,Rama Chellappa
Publisher : Elsevier
Page : 768 pages
File Size : 44,5 Mb
Release : 2011-07-28
Category : Computers
ISBN : 0080488846

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Face Processing: Advanced Modeling and Methods by Wenyi Zhao,Rama Chellappa Pdf

Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific face with relative ease. It is this level of detail that researchers are striving to create with ever evolving computer technologies that will become our perfect mechanical eyes. The difficulty that confronts researchers stems from turning a 3D object into a 2D image. That subject is covered in depth from several different perspectives in this volume. Face Processing: Advanced Modeling and Methods begins with a comprehensive introductory chapter for those who are new to the field. A compendium of articles follows that is divided into three sections. The first covers basic aspects of face processing from human to computer. The second deals with face modeling from computational and physiological points of view. The third tackles the advanced methods, which include illumination, pose, expression, and more. Editors Zhao and Chellappa have compiled a concise and necessary text for industrial research scientists, students, and professionals working in the area of image and signal processing. Contributions from over 35 leading experts in face detection, recognition and image processing Over 150 informative images with 16 images in FULL COLOR illustrate and offer insight into the most up-to-date advanced face processing methods and techniques Extensive detail makes this a need-to-own book for all involved with image and signal processing

Statistical Learning and Pattern Analysis for Image and Video Processing

Nanning Zheng,Jianru Xue
Statistical Learning and Pattern Analysis for Image and Video Processing Book PDF

Author : Nanning Zheng,Jianru Xue
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 43,9 Mb
Release : 2009-07-25
Category : Computers
ISBN : 9781848823129

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Statistical Learning and Pattern Analysis for Image and Video Processing by Nanning Zheng,Jianru Xue Pdf

Why are We Writing This Book? Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the ?eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing ?elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.

Computer Networks and Inventive Communication Technologies

S. Smys,Ram Palanisamy,Álvaro Rocha,Grigorios N. Beligiannis
Computer Networks and Inventive Communication Technologies Book PDF

Author : S. Smys,Ram Palanisamy,Álvaro Rocha,Grigorios N. Beligiannis
Publisher : Springer Nature
Page : 1212 pages
File Size : 43,9 Mb
Release : 2021-06-02
Category : Technology & Engineering
ISBN : 9789811596476

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Computer Networks and Inventive Communication Technologies by S. Smys,Ram Palanisamy,Álvaro Rocha,Grigorios N. Beligiannis Pdf

This book is a collection of peer-reviewed best selected research papers presented at 3rd International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT 2020). The book covers new results in theory, methodology, and applications of computer networks and data communications. It includes original papers on computer networks, network protocols and wireless networks, data communication technologies, and network security. The proceedings of this conference is a valuable resource, dealing with both the important core and the specialized issues in the areas of next generation wireless network design, control, and management, as well as in the areas of protection, assurance, and trust in information security practice. It is a reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners for advance work in the area.

Audio- and Video-based Biometric Person Authentication

Josef Bigün,Gerard Chollet,Gunilla Borgefors
Audio and Video based Biometric Person Authentication Book PDF

Author : Josef Bigün,Gerard Chollet,Gunilla Borgefors
Publisher : Springer Science & Business Media
Page : 470 pages
File Size : 44,5 Mb
Release : 1997-03-03
Category : Business & Economics
ISBN : 3540626603

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Audio- and Video-based Biometric Person Authentication by Josef Bigün,Gerard Chollet,Gunilla Borgefors Pdf

This book constitutes the refereed proceedings of the First International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA'97, held in Crans-Montana, Switzerland, in March 1997. The 49 revised papers presented were carefully reviewed and selected by the program committee for inclusion in the book; also included are four invited contributions. The papers are organized in sections on facial features localisation, lip and facial motion, visual non-face biometrics, face-based authentication, text-dependent speaker authentication, text-independent authentication, audio-video features and fusion, and systems and applications.

Background Modeling and Foreground Detection for Video Surveillance

Thierry Bouwmans,Fatih Porikli,Benjamin Höferlin,Antoine Vacavant
Background Modeling and Foreground Detection for Video Surveillance Book PDF

Author : Thierry Bouwmans,Fatih Porikli,Benjamin Höferlin,Antoine Vacavant
Publisher : CRC Press
Page : 633 pages
File Size : 48,7 Mb
Release : 2014-07-25
Category : Computers
ISBN : 9781482205381

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Background Modeling and Foreground Detection for Video Surveillance by Thierry Bouwmans,Fatih Porikli,Benjamin Höferlin,Antoine Vacavant Pdf

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments. This requires effective methods for dealing with dynamic backgrounds and illumination changes as well as algorithms that must meet real-time and low memory requirements.Incorporating both establish

Biometrics

N. V. Boulgouris,Konstantinos N. Plataniotis,Evangelia Micheli-Tzanakou
Biometrics Book PDF

Author : N. V. Boulgouris,Konstantinos N. Plataniotis,Evangelia Micheli-Tzanakou
Publisher : John Wiley & Sons
Page : 763 pages
File Size : 44,7 Mb
Release : 2009-10-29
Category : Computers
ISBN : 9780470522349

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Biometrics by N. V. Boulgouris,Konstantinos N. Plataniotis,Evangelia Micheli-Tzanakou Pdf

Edited by a panel of experts, this book fills a gap in the existing literature by comprehensively covering system, processing, and application aspects of biometrics, based on a wide variety of biometric traits. The book provides an extensive survey of biometrics theory, methods,and applications, making it an indispensable source of information for researchers, security experts, policy makers, engineers, practitioners, and graduate students. The book's wide and in-depth coverage of biometrics enables readers to build a strong, fundamental understanding of theory and methods, and provides a foundation for solutions to many of today’s most interesting and challenging biometric problems. Biometric traits covered: Face, Fingerprint, Iris, Gait, Hand Geometry, Signature, Electrocardiogram (ECG), Electroencephalogram (EEG), physiological biometrics. Theory, Methods and Applications covered: Multilinear Discriminant Analysis, Neural Networks for biometrics, classifier design, biometric fusion, Event-Related Potentials, person-specific characteristic feature selection, image and video-based face, recognition/verification, near-infrared face recognition, elastic graph matching, super-resolution of facial images, multimodal solutions, 3D approaches to biometrics, facial aging models for recognition, information theory approaches to biometrics, biologically-inspired methods, biometric encryption, decision-making support in biometric systems, privacy in biometrics.