Learning Deformable Shape Models For Object Tracking

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Learning Deformable Shape Models for Object Tracking

Author : Anthony James Heap
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (757 download)

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Book Synopsis Learning Deformable Shape Models for Object Tracking by : Anthony James Heap

Download or read book Learning Deformable Shape Models for Object Tracking written by Anthony James Heap and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of computer vision to locate or track objects in images has applications in a diversity of domains. It is generally recognised that the analysis of objects of interest is eased significantly by making use of models of objects. In many cases, the strongest visual feature of an object is its shape. Also, many objects of interest are non-rigid, or have a non-rigid appearance with respect to a particular viewpoint. For these reasons, there is much interest in the construction of, and tracking with, deformable shape models. A common approach to building such a model is to apply statistics to a set of real-life training examples of an object in order to learn shape and deformation characteristics. Such methods have proved successful in many specific applications; however, they can experience inadequacies in the general case. For example, objects which exhibit non-linear deformations give rise to models which are not compact and not specific: in the process of capturing the range of valid shapes, invalid shapes also become incorporated into the model. This effect is particularly pronounced when building models from automatically-gathered training data. Also, in tracking, smooth movement and deformation is generally assumed, but is not always the case: the apparent shape of an object can change discontinuously over time due to, for example, rotations in 3D. The work in this thesis addresses the above problems. Two extensions to current statistical methods are described. The first makes use of polar coordinates to improve the modelling of objects which bend or pivot. The second uses a hierarchical approach to model more general complex deformations; non-linearities are broken down into smaller linear pieces in order to improve model specificity. In particular, this greatly improves the modelling of objects from automatically-gathered training data. A new approach to tracking which complements the latter of these models is also described. Learned object shape dynamics are combined with stochastic tracking to produce a system which can track from automatically-generated models, as well as being able to handle discontinuous shape changes. Examples are given of the use of these techniques, predominantly in the domain of hand tracking. In particular, it is shown how it is possible to track 3D objects purely from 2D models of their silhouettes.

Articulated Motion and Deformable Objects

Author : Francisco J. Perales
Publisher : Springer Science & Business Media
ISBN 13 : 3540705163
Total Pages : 471 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Articulated Motion and Deformable Objects by : Francisco J. Perales

Download or read book Articulated Motion and Deformable Objects written by Francisco J. Perales and published by Springer Science & Business Media. This book was released on 2008-07 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Articulated Motion and Deformable Objects, AMDO 2008, held in Port d'Andratx, Mallorca, Spain, in July 2008. The 36 revised full papers and 7 poster papers presented were carefully reviewed and selected from 64 submissions. The papers are organized in topical section on computer graphics: human modelling and animation, human motion: analysis, tracking, 3D reconstruction and recognition, multimodal user interaction: VR and ar, speech, biometrics, and advanced multimedia systems: standards, indexed video contents.

Deformation Models

Author : Manuel González Hidalgo
Publisher : Springer Science & Business Media
ISBN 13 : 9400754469
Total Pages : 301 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Deformation Models by : Manuel González Hidalgo

Download or read book Deformation Models written by Manuel González Hidalgo and published by Springer Science & Business Media. This book was released on 2012-10-29 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The computational modelling of deformations has been actively studied for the last thirty years. This is mainly due to its large range of applications that include computer animation, medical imaging, shape estimation, face deformation as well as other parts of the human body, and object tracking. In addition, these advances have been supported by the evolution of computer processing capabilities, enabling realism in a more sophisticated way. This book encompasses relevant works of expert researchers in the field of deformation models and their applications. The book is divided into two main parts. The first part presents recent object deformation techniques from the point of view of computer graphics and computer animation. The second part of this book presents six works that study deformations from a computer vision point of view with a common characteristic: deformations are applied in real world applications. The primary audience for this work are researchers from different multidisciplinary fields, such as those related with Computer Graphics, Computer Vision, Computer Imaging, Biomedicine, Bioengineering, Mathematics, Physics, Medical Imaging and Medicine.

Computer Vision - ECCV 2008

Author : David Hutchison
Publisher :
ISBN 13 : 9788354088684
Total Pages : 0 pages
Book Rating : 4.0/5 (886 download)

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Book Synopsis Computer Vision - ECCV 2008 by : David Hutchison

Download or read book Computer Vision - ECCV 2008 written by David Hutchison and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.

Learning Deformable Models for Tracking Human Motion

Author : Adam Baumberg
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (757 download)

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Book Synopsis Learning Deformable Models for Tracking Human Motion by : Adam Baumberg

Download or read book Learning Deformable Models for Tracking Human Motion written by Adam Baumberg and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis and automatic interpretation of images containing moving non-rigid objects, such as walking people, has been the subject of considerable research in the field of computer vision and pattern recognition. In order to build fast and reliable systems some kind of prior model is generally required. A model enables the system to cope with situations where there is considerable background clutter or where information is missing from the image data. This may be due to imaging errors (e.g. blurring due to motion) or due to part of an object becoming hidden from view. Conventional approaches to the problem of tracking non-rigid objects require complex hand-crafted models which are not easily adapted to different problems. A more recent approach uses training information to build models for image analysis. This thesis extends this approach by building flexible 2D models, automatically, from sequences of training images. Efficient methods are described for using the resulting models for real time contour tracking using optimal linear filtering techniques. The method is further extended by incorporating a feedback scheme to generate a more compact linear model which is shown to be more robust and accurate for tracking. Models of the shape of an object do not utilise the temporal information contained within the training sequences. A novel method is described for automatically learning a spatiotemporal, physically-based model that allows the system to accurately predict the expected change in object shape over time. This approach is shown to increase the reliability of the system, requiring only a modest increase in computational processing. The system can be automatically trained on video sequences to learn constraints on the apparent shape and motion of a particular non-rigid object in a particular environment. Results show the system is capable of tracking several walking pedestrians in real time without the use of expensive dedicated hardware. The output from this system has potential uses in the areas of surveillance, animation and gait analysis.

Object Categorization

Author : Sven J. Dickinson
Publisher : Cambridge University Press
ISBN 13 : 0521887380
Total Pages : 553 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Object Categorization by : Sven J. Dickinson

Download or read book Object Categorization written by Sven J. Dickinson and published by Cambridge University Press. This book was released on 2009-09-07 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique multidisciplinary perspective on the problem of visual object categorization.

Articulated Motion and Deformable Objects

Author : Francisco José Perales
Publisher : Springer
ISBN 13 : 3319088491
Total Pages : 205 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Articulated Motion and Deformable Objects by : Francisco José Perales

Download or read book Articulated Motion and Deformable Objects written by Francisco José Perales and published by Springer. This book was released on 2014-06-25 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Articulated Motion and Deformable Objects, AMDO 2014, held in Palma de Mallorca, Spain, in July 2014. The 18 papers presented were carefully reviewed and selected from 37 submissions. The conference dealt with the following topics: geometric and physical deformable models; motion analysis; articulated models and animation; modeling and visualization of deformable models; deformable model applications; motion analysis applications; single or multiple human motion analysis and synthesis; face modeling, tracking, recovering and recognition models; virtual and augmented reality; haptics devices; biometric techniques.

Machine Learning for Human Motion Analysis: Theory and Practice

Author : Wang, Liang
Publisher : IGI Global
ISBN 13 : 1605669016
Total Pages : 318 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Machine Learning for Human Motion Analysis: Theory and Practice by : Wang, Liang

Download or read book Machine Learning for Human Motion Analysis: Theory and Practice written by Wang, Liang and published by IGI Global. This book was released on 2009-12-31 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book highlights the development of robust and effective vision-based motion understanding systems, addressing specific vision applications such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval"--Provided by publisher.

Visual Analysis of Behaviour

Author : Shaogang Gong
Publisher : Springer Science & Business Media
ISBN 13 : 0857296701
Total Pages : 358 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Visual Analysis of Behaviour by : Shaogang Gong

Download or read book Visual Analysis of Behaviour written by Shaogang Gong and published by Springer Science & Business Media. This book was released on 2011-05-26 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives. Topics: covers learning-group activity models, unsupervised behaviour profiling, hierarchical behaviour discovery, learning behavioural context, modelling rare behaviours, and “man-in-the-loop” active learning; examines multi-camera behaviour correlation, person re-identification, and “connecting-the-dots” for abnormal behaviour detection; discusses Bayesian information criterion, Bayesian networks, “bag-of-words” representation, canonical correlation analysis, dynamic Bayesian networks, Gaussian mixtures, and Gibbs sampling; investigates hidden conditional random fields, hidden Markov models, human silhouette shapes, latent Dirichlet allocation, local binary patterns, locality preserving projection, and Markov processes; explores probabilistic graphical models, probabilistic topic models, space-time interest points, spectral clustering, and support vector machines.

Object Detection and Classification Using Shape Feature

Author : Computer engineer Huang
Publisher :
ISBN 13 :
Total Pages : 55 pages
Book Rating : 4.:/5 (917 download)

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Book Synopsis Object Detection and Classification Using Shape Feature by : Computer engineer Huang

Download or read book Object Detection and Classification Using Shape Feature written by Computer engineer Huang and published by . This book was released on 2014 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: We develop a set of methods to represent and detect shapes in images. We first develop new shape descriptors that are robust to deformation while being able to capture part details. In our framework, the shape descriptor is generated by 1) using running angle to transforming a shape into a 2-D description image in the position and scale space; 2) performing circular wavelet-like sub-band decomposition of this 2-D description image based on its periodic convolution with orthogonal kernel functions. The shapes are classified with linear SVM. Our performance evaluations on several public datasets demonstrate that the proposed method significantly outperforms state-of-the-art methods. We then study the problem of detecting deformable objects from cluttered images given a single object sketch as model. To address this challenge, we develop local shape descriptors and additive similarity metric function which can be computed locally while preserving the capability of matching deformable shapes globally. To effectively detect objects with large deformation, we augment the metric function with local motion search, model the relationship between different shape parts using multiple concurrent dynamic programming shape parsers, and finalize the detection result using Hough voting. Our experimental results show that the proposed method outperforms the state-of-the-art shape-based object detection algorithms on the benchmark datasets in terms of average precision.

Articulated Motion and Deformable Objects

Author : Francisco José Perales
Publisher : Springer
ISBN 13 : 3319945440
Total Pages : 141 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Articulated Motion and Deformable Objects by : Francisco José Perales

Download or read book Articulated Motion and Deformable Objects written by Francisco José Perales and published by Springer. This book was released on 2018-07-03 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Articulated Motion and Deformable Objects, AMDO 2018, held in Palma de Mallorca, Spain, in July 2018. The 12 papers presented were carefully reviewed and selected from 26 submissions. The papers address the following topics: advanced computer graphics and immersive videogames; human modeling and animation; human motion analysis and tracking; 3D human reconstruction and recognition; multimodal user interaction and applications; ubiquitous and social computing; design tools; input technology; programming user interfaces; 3D medical deformable models and visualization; deep learning methods for computer vision and graphics; and multibiometric.

Advances in Image and Video Segmentation

Author : Zhang, Yu-Jin
Publisher : IGI Global
ISBN 13 : 1591407559
Total Pages : 472 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Advances in Image and Video Segmentation by : Zhang, Yu-Jin

Download or read book Advances in Image and Video Segmentation written by Zhang, Yu-Jin and published by IGI Global. This book was released on 2006-05-31 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book attempts to bring together a selection of the latest results of state-of-the art research in image and video segmentation, one of the most critical tasks of image and video analysis that has the objective of extracting information (represented by data) from an image or a sequence of images (video)"--Provided by publisher.

Motion-Based Recognition

Author : Mubarak Shah
Publisher : Springer Science & Business Media
ISBN 13 : 9401589356
Total Pages : 378 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis Motion-Based Recognition by : Mubarak Shah

Download or read book Motion-Based Recognition written by Mubarak Shah and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motion-based recognition deals with the recognition of an object and/or its motion, based on motion in a series of images. In this approach, a sequence containing a large number of frames is used to extract motion information. The advantage is that a longer sequence leads to recognition of higher level motions, like walking or running, which consist of a complex and coordinated series of events. Unlike much previous research in motion, this approach does not require explicit reconstruction of shape from the images prior to recognition. This book provides the state-of-the-art in this rapidly developing discipline. It consists of a collection of invited chapters by leading researchers in the world covering various aspects of motion-based recognition including lipreading, gesture recognition, facial expression recognition, gait analysis, cyclic motion detection, and activity recognition. Audience: This volume will be of interest to researchers and post- graduate students whose work involves computer vision, robotics and image processing.

Medical Image Recognition, Segmentation and Parsing

Author : S. Kevin Zhou
Publisher : Academic Press
ISBN 13 : 0128026766
Total Pages : 548 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Medical Image Recognition, Segmentation and Parsing by : S. Kevin Zhou

Download or read book Medical Image Recognition, Segmentation and Parsing written by S. Kevin Zhou and published by Academic Press. This book was released on 2015-12-11 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the technical problems and solutions for automatically recognizing and parsing a medical image into multiple objects, structures, or anatomies. It gives all the key methods, including state-of- the-art approaches based on machine learning, for recognizing or detecting, parsing or segmenting, a cohort of anatomical structures from a medical image. Written by top experts in Medical Imaging, this book is ideal for university researchers and industry practitioners in medical imaging who want a complete reference on key methods, algorithms and applications in medical image recognition, segmentation and parsing of multiple objects. Learn: Research challenges and problems in medical image recognition, segmentation and parsing of multiple objects Methods and theories for medical image recognition, segmentation and parsing of multiple objects Efficient and effective machine learning solutions based on big datasets Selected applications of medical image parsing using proven algorithms Provides a comprehensive overview of state-of-the-art research on medical image recognition, segmentation, and parsing of multiple objects Presents efficient and effective approaches based on machine learning paradigms to leverage the anatomical context in the medical images, best exemplified by large datasets Includes algorithms for recognizing and parsing of known anatomies for practical applications

Pattern Recognition and Machine Intelligence

Author : Ashish Ghosh
Publisher : Springer
ISBN 13 : 3540770461
Total Pages : 693 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Pattern Recognition and Machine Intelligence by : Ashish Ghosh

Download or read book Pattern Recognition and Machine Intelligence written by Ashish Ghosh and published by Springer. This book was released on 2007-11-28 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Pattern Recognition and Machine Intelligence, PReMI 2007, held in Kolkata, India in December 2007. The papers are organized in topical sections on pattern recognition, image analysis, soft computing and applications, data mining and knowledge discovery, bioinformatics, signal and speech processing, document analysis and text mining, biometrics, and video analysis.

Shape Knowledge for Segmentation and Tracking

Author : Victor Adrian Prisacariu
Publisher :
ISBN 13 :
Total Pages : 338 pages
Book Rating : 4.:/5 (933 download)

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Book Synopsis Shape Knowledge for Segmentation and Tracking by : Victor Adrian Prisacariu

Download or read book Shape Knowledge for Segmentation and Tracking written by Victor Adrian Prisacariu and published by . This book was released on 2012 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Dynamic Vision: From Images To Face Recognition

Author : Shaogang Gong
Publisher : World Scientific
ISBN 13 : 1911298917
Total Pages : 364 pages
Book Rating : 4.9/5 (112 download)

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Book Synopsis Dynamic Vision: From Images To Face Recognition by : Shaogang Gong

Download or read book Dynamic Vision: From Images To Face Recognition written by Shaogang Gong and published by World Scientific. This book was released on 2000-05-11 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face recognition is a task that the human vision system seems to perform almost effortlessly, yet the goal of building computer-based systems with comparable capabilities has proven to be difficult. The task implicitly requires the ability to locate and track faces through often complex and dynamic scenes. Recognition is difficult because of variations in factors such as lighting conditions, viewpoint, body movement and facial expression. Although evidence from psychophysical and neurobiological experiments provides intriguing insights into how we might code and recognise faces, its bearings on computational and engineering solutions are far from clear. The study of face recognition has had an almost unique impact on computer vision and machine learning research at large. It raises many challenging issues and provides a good vehicle for examining some difficult problems in vision and learning. Many of the issues raised are relevant to object recognition in general.This book describes the latest models and algorithms that are capable of performing face recognition in a dynamic setting. The key question is how to design computer vision and machine learning algorithms that can operate robustly and quickly under poorly controlled and changing conditions. Consideration of face recognition as a problem in dynamic vision is perhaps both novel and important. The algorithms described have numerous potential applications in areas such as visual surveillance, verification, access control, video-conferencing, multimedia and visually mediated interaction.The book will be of special interest to researchers and academics involved in machine vision, visual recognition and machine learning. It should also be of interest to industrial research scientists and managers keen to exploit this emerging technology and develop automated face and human recognition systems. It is also useful to postgraduate students studying computer science, electronic engineering, information or systems engineering, and cognitive psychology.