Visual Tracking Of Articulated And Flexible Objects

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Visual Tracking of Articulated and Flexible Objects

Author : Daniel Wesierski
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (869 download)

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Book Synopsis Visual Tracking of Articulated and Flexible Objects by : Daniel Wesierski

Download or read book Visual Tracking of Articulated and Flexible Objects written by Daniel Wesierski and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 motions. It describes a unifying tracking system that can be configured to track the pose of a deformable object in a low or high-dimensional state-space. The object is decomposed into a chained assembly of segments of multiple parts that are arranged under a hierarchy of tailored spatio-temporal constraints. The robustness and generality of the approach is widely demonstrated on tracking various flexible and articulated objects. Haar-like features are widely used in tracking. The second contribution of the thesis is a parser of ensembles of Haar-like features to compute them efficiently. The features are decomposed into simpler kernels, possibly shared by subsets of features, thus forming multi-pass convolutions. Discovering and aligning these kernels within and between passes allows forming recursive trees of kernels that require fewer memory operations than the classic computation, thereby producing the same result but more efficiently. The approach is validated experimentally on popular examples of Haar-like features.

3D Visual Tracking of Articulated Objects and Hands

Author : Teófilo Emídio De Campos
Publisher :
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.:/5 (244 download)

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Book Synopsis 3D Visual Tracking of Articulated Objects and Hands by : Teófilo Emídio De Campos

Download or read book 3D Visual Tracking of Articulated Objects and Hands written by Teófilo Emídio De Campos and published by . This book was released on 2006 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Visual Tracking of Highly Articulated Objects Using Massively Parallel Processors

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (932 download)

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Book Synopsis Visual Tracking of Highly Articulated Objects Using Massively Parallel Processors by :

Download or read book Visual Tracking of Highly Articulated Objects Using Massively Parallel Processors written by and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Visual Tracking of Self-occluding Articulated Objects

Author : James M. Rehg
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (328 download)

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Book Synopsis Visual Tracking of Self-occluding Articulated Objects by : James M. Rehg

Download or read book Visual Tracking of Self-occluding Articulated Objects written by James M. Rehg and published by . This book was released on 1994 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Computer sensing of hand and limb motion is an important problem for applications in human-computer interaction, virtual reality, and athletic performance measurement. We describe a framework for local tracking of self-occluding motion, in which parts of the mechanism obstruct each others visibility to the camera. Our approach uses a kinematic model to predict occlusion and windowed templates to track partially occluded objects. We analyze our model of self-occlusion, discuss the implementation of our algorithm, and give experimental results for 3D hand tracking under significant amounts of self-occlusion. These results extend the DigitEyes system for articulated tracking described in [22,21] to handle self-occluding motions."

Visual Tracking of Self-occluding Articulated Objects

Author : James M. Rehg
Publisher :
ISBN 13 :
Total Pages : 37 pages
Book Rating : 4.:/5 (328 download)

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Book Synopsis Visual Tracking of Self-occluding Articulated Objects by : James M. Rehg

Download or read book Visual Tracking of Self-occluding Articulated Objects written by James M. Rehg and published by . This book was released on 1994 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Computer sensing of hand and limb motion is an important problem for applications in human-computer interaction, virtual reality, and athletic performance measurement. We describe a framework for local tracking of self-occluding motion, in which parts of the mechanism obstruct each others visibility to the camera. Our approach uses a kinematic model to predict occlusion and windowed templates to track partially occluded objects. We analyze our model of self-occlusion, discuss the implementation of our algorithm, and give experimental results for 3D hand tracking under significant amounts of self-occlusion. These results extend the DigitEyes system for articulated tracking described in [22,21] to handle self-occluding motions."

Tracking of Articulated Objects Using Model-based Computer Vision

Author : Christian Christensen
Publisher :
ISBN 13 :
Total Pages : 108 pages
Book Rating : 4.:/5 (473 download)

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Book Synopsis Tracking of Articulated Objects Using Model-based Computer Vision by : Christian Christensen

Download or read book Tracking of Articulated Objects Using Model-based Computer Vision written by Christian Christensen and published by . This book was released on 1997 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Online Visual Tracking

Author : Huchuan Lu
Publisher : Springer
ISBN 13 : 9811304696
Total Pages : 128 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Online Visual Tracking by : Huchuan Lu

Download or read book Online Visual Tracking written by Huchuan Lu and published by Springer. This book was released on 2019-05-30 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Articulated Motion and Deformable Objects

Author :
Publisher :
ISBN 13 :
Total Pages : 300 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Articulated Motion and Deformable Objects by :

Download or read book Articulated Motion and Deformable Objects written by and published by . This book was released on 2004 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Analysis of Images and Patterns

Author : Xiaoyi Jiang
Publisher : Springer Science & Business Media
ISBN 13 : 3642037666
Total Pages : 1272 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Computer Analysis of Images and Patterns by : Xiaoyi Jiang

Download or read book Computer Analysis of Images and Patterns written by Xiaoyi Jiang and published by Springer Science & Business Media. This book was released on 2009-08-28 with total page 1272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the bienially held International Conference on Computer Analysis of Images and Patterns, CAIP 2009, which took place in Münster, Germany, September 2-4, 2009. The 148 papers presented together with 2 invited talks were carefully reviewed and selected from 405 submissions. The papers are organized in topical section on: biometrics, calibration, document analysis, features, graph representations, image processing, image registration, image and video retrieval, medical imaging, object and scene recognition, pattern recognition, shape recovery, segmentation, stereo and video analysis, texture analysis, and applications.

Singularities in Articulated Object Tracking with 2-D and 3-D Models

Author : James M. Rehg
Publisher :
ISBN 13 :
Total Pages : 38 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Singularities in Articulated Object Tracking with 2-D and 3-D Models by : James M. Rehg

Download or read book Singularities in Articulated Object Tracking with 2-D and 3-D Models written by James M. Rehg and published by . This book was released on 1997 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Image and Video Processing

Author : Alan C. Bovik
Publisher : Academic Press
ISBN 13 : 0080533612
Total Pages : 1429 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Handbook of Image and Video Processing by : Alan C. Bovik

Download or read book Handbook of Image and Video Processing written by Alan C. Bovik and published by Academic Press. This book was released on 2010-07-21 with total page 1429 pages. Available in PDF, EPUB and Kindle. Book excerpt: 55% new material in the latest edition of this “must-have for students and practitioners of image & video processing! This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom. Each chapter has been written by carefully selected, distinguished experts specializing in that topic and carefully reviewed by the Editor, Al Bovik, ensuring that the greatest depth of understanding be communicated to the reader. Coverage includes introductory, intermediate and advanced topics and as such, this book serves equally well as classroom textbook as reference resource. • Provides practicing engineers and students with a highly accessible resource for learning and using image/video processing theory and algorithms • Includes a new chapter on image processing education, which should prove invaluable for those developing or modifying their curricula • Covers the various image and video processing standards that exist and are emerging, driving today’s explosive industry • Offers an understanding of what images are, how they are modeled, and gives an introduction to how they are perceived • Introduces the necessary, practical background to allow engineering students to acquire and process their own digital image or video data • Culminates with a diverse set of applications chapters, covered in sufficient depth to serve as extensible models to the reader’s own potential applications About the Editor... Al Bovik is the Cullen Trust for Higher Education Endowed Professor at The University of Texas at Austin, where he is the Director of the Laboratory for Image and Video Engineering (LIVE). He has published over 400 technical articles in the general area of image and video processing and holds two U.S. patents. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994. * No other resource for image and video processing contains the same breadth of up-to-date coverage * Each chapter written by one or several of the top experts working in that area * Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various, image-intensive disciplines

Toward Category-Level Object Recognition

Author : Jean Ponce
Publisher : Springer
ISBN 13 : 3540687955
Total Pages : 622 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Toward Category-Level Object Recognition by : Jean Ponce

Download or read book Toward Category-Level Object Recognition written by Jean Ponce and published by Springer. This book was released on 2007-01-25 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation.

An Exploration Into Model-Free Online Visual Object Tracking

Author : Gao Zhu
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (144 download)

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Book Synopsis An Exploration Into Model-Free Online Visual Object Tracking by : Gao Zhu

Download or read book An Exploration Into Model-Free Online Visual Object Tracking written by Gao Zhu and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents a thorough investigation of model-free visual object tracking, a fundamental computer vision task that is essential for practical video analytics applications. Given the states of the object in the rst frame, e.g., the position and size of the target, the computational methods developed and advanced in this thesis aim at determining target states in consecutive video frames automatically. In contrast to the tracking schemes that depend strictly on specic object detectors, model-free tracking provides conveniently flexible and competently general solutions where object representations are initiated in the first frame and adapted in an online manner at each frame. We first articulate our motivations and intuitions in Chapter 1, formulate model-free online visual tracking, illustrate outcomes on two representative object tracking applications; drone control and sports video broadcasting analysis, and elaborate other relevant problems. In Chapter 2, we review various tracking methodologies employed by state-ofthe-art trackers and further review related background knowledge, including several important dataset benchmarks and workshop challenges, which are widely used for evaluating the performance of trackers, as well as commonly applied evaluation protocols in this chapter. In Chapter 3 through Chapter 6, we then explore the model-free online visual tracking problem in four different dimensions: 1) learning a more discriminative classier with a two-layer classication hierarchy and background contextual clusters; 2) overcoming the limit of conventionally used local-search scheme with a global object tracking framework based on instance-specic object proposals; 3) tracking object affine motion with a Structured Support Vector Machine (SSVM) framework incorporated with motion manifold structure; 4) an efficient multiple object model-free online tracking approach based on a shared pool of object proposals. Lastly, as a conclusion and future work outlook, we highlight and summarize the contribution of this thesis and discuss several promising research directions in Chapter 7, based on latest work and their drawbacks of current state-of-the-art trackers.

Visual Analysis of High DOF Articulated Objects with Application to Hand Tracking

Author : James M. Rehg
Publisher :
ISBN 13 :
Total Pages : 122 pages
Book Rating : 4.:/5 (346 download)

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Book Synopsis Visual Analysis of High DOF Articulated Objects with Application to Hand Tracking by : James M. Rehg

Download or read book Visual Analysis of High DOF Articulated Objects with Application to Hand Tracking written by James M. Rehg and published by . This book was released on 1995 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Measurement of human hand and body motion is an important task for applications ranging from athletic performance analysis to advanced user-interfaces. Commercial human motion sensors are invasive, requiring the user to wear gloves or targets. This thesis addresses noninvasive real-time 3D tracking of human motion using sequences of ordinary video images. In contrast to other sensors, video cameras are passive and inobtrusive, and can easily be added to existing work environments. Other computer vision systems have demonstrated real-time tracking of a single rigid object in six degrees-of-freedom (DOFs). Articulated objects like the hand present three challenges to existing rigid-body tracking algorithms: a large number of DOFs (27 for the hand), nonlinear kinematic constraints, and complex self-occlusion effects. This thesis presents a novel tracking framework for articulated objects that uses explicit kinematic models to overcome these obstacles. Kinematic models play two main roles in this work: they provide geometric constraints on image features and predict self-occlusions. A kinematic model for hand tracking gives the 3D positions of the fingers as a function of the hand state, which consists of the pose of the palm and the finger joint angles. Image features for the hand consist of lines and points which are obtained by projecting finger phalanges and tips into the image plane. The kinematic model provides a geometric constraint on the image plane positions of hand features as a function of the hand state. Tracking proceeds by registering the projection of the hand model with measured image features at a high frame rate. Self occlusions are modeled by arranging the image features in overlapping layers, ordered by their visibility to the camera. The layered representation is generated automatically by the kinematic model and used to constrain registration. This framework was implemented in a hand tracking system called DigitEyes and tested in two sets of experiments. First, a hand was tracked in real- time using two cameras and a 27 DOF model, and using a single camera in a 3D mouse user-interface trial. Second, the occlusion handling framework was tested off-line on a motion sequence with significant self-occlusion. These results illustrate the effectiveness of explicit kinematic models in 3D tracking and analysis of self-occluding motion."

Probabilistic Graphical Models for Computer Vision

Author : Qiang Ji
Publisher : Academic Press
ISBN 13 : 012803467X
Total Pages : 294 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Probabilistic Graphical Models for Computer Vision by : Qiang Ji

Download or read book Probabilistic Graphical Models for Computer Vision written by Qiang Ji and published by Academic Press. This book was released on 2019-11 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants. Discusses PGM theories and techniques with computer vision examples Focuses on well-established PGM theories that are accompanied by corresponding pseudocode for computer vision Includes an extensive list of references, online resources and a list of publicly available and commercial software Covers computer vision tasks, including feature extraction and image segmentation, object and facial recognition, human activity recognition, object tracking and 3D reconstruction

Computer Vision - ACCV 2006

Author : P. J. Narayanan
Publisher : Springer Science & Business Media
ISBN 13 : 3540312447
Total Pages : 1005 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Computer Vision - ACCV 2006 by : P. J. Narayanan

Download or read book Computer Vision - ACCV 2006 written by P. J. Narayanan and published by Springer Science & Business Media. This book was released on 2006 with total page 1005 pages. Available in PDF, EPUB and Kindle. Book excerpt:

UAV Sensors for Environmental Monitoring

Author : Felipe Gonzalez Toro
Publisher : MDPI
ISBN 13 : 3038427535
Total Pages : 671 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis UAV Sensors for Environmental Monitoring by : Felipe Gonzalez Toro

Download or read book UAV Sensors for Environmental Monitoring written by Felipe Gonzalez Toro and published by MDPI. This book was released on 2018-03-05 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "UAV Sensors for Environmental Monitoring" that was published in Sensors