Motion Understanding

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Understanding Motion Capture for Computer Animation

Author : Alberto Menache
Publisher : Elsevier
Page : 276 pages
File Size : 49,6 Mb
Release : 2011-01-24
Category : Computers
ISBN : 0123814979

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Understanding Motion Capture for Computer Animation by Alberto Menache Pdf

Understanding Motion Capture for Computer Animation discusses the latest technology developments in digital design, film, games, medicine, sports, and security engineering. Motion capture records a live-motion event and translates it into a digital context. It is the technology that converts a live performance into a digital performance. In contrast, performance animation is the actual performance that brings life to the character, even without using technology. If motion capture is the collection of data that represents motion, performance animation is the character that a performer represents. The book offers extensive information about motion capture. It includes state-of-the-art technology, methodology, and developments in the current motion-capture industry. In particular, the different ways to capture motions are discussed, including using cameras or electromagnetic fields in tracking a group of sensors. This book will be useful for students taking a course about digital filming, as well as for anyone who is interested in this topic. Completely revised to include almost 40% new content with emphasis on RF and Facial Motion Capture Systems Describes all the mathematical principles associated with motion capture and 3D character mechanics Helps you budget by explaining the costs associated with individualized motion capture projects

Worlds in Motion : Understanding International Migration at the End of the Millennium

Author : Douglas S. Massey,Joaquin Arango,Graeme Hugo,Ali Kouaouci,Adela Pellegrino
Publisher : Clarendon Press
Page : 382 pages
File Size : 45,6 Mb
Release : 1999-01-28
Category : Electronic
ISBN : 9780191584084

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Worlds in Motion : Understanding International Migration at the End of the Millennium by Douglas S. Massey,Joaquin Arango,Graeme Hugo,Ali Kouaouci,Adela Pellegrino Pdf

At the end of the 20th century nearly all developed nations have become countries of immigration, absorbing growing numbers of immigrants not only from developed regions, byt increasingly from developing nations of the Third World. Although international migration has come to play a central role in the social, economic, and demographic dynamics of both immigrant-sending and immigrant-receiving countries, social scientist have been slow to construct a comprehensive theory to explain it. Efforts at theoretical explanation have been fragmented by disciplinary, geographic, and methodological boudaries. Worlds in Motion seeks to overcome these schisms to create a comprehensive theory of international migration for the next century. After explicating the various propositions and hypotheses of current theories, and identifying area of complementarity and conflict, the authors review empirical research emanting from each of the world's principal international migration systems: North America, Western Europe, the Gulf, Asia and the Pacific, and the Southern Cone of South America. Using data from the 1980s, levels and patterns of migration within each system are described to define their structure and organization. Specific studies are then comprehensively surveyed to evaluate the fundamental propositions of neoclassical economics, the new economics of labour migration, segmented labour market theory, world systems theory, social capital theory, and the theory of cumulative causation. The various theories are also tested by applying them to the relationship between international migration and economic development. Although certain theories seem to function more effectively in certain systems, all contain elements of truth supported by empirical research. The task of the theorist is thus to identify which theories are most effective in accounting for international migration in the world today, and what regional and national circumstances lead to a predominance of one theoretical mechanism over another. The book concludes by offering an empirically-grounded theoretical synthesis to serve as a guide for researchers and policy-makers in the 21st century.

Motion Understanding

Author : W. Bach,J.K. Aggarwal
Publisher : Springer Science & Business Media
Page : 448 pages
File Size : 55,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461310716

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Motion Understanding by W. Bach,J.K. Aggarwal Pdf

The physical processes which initiate and maintain motion have been a major concern of serious investigation throughout the evolution of scientific thought. As early as the fifth century B. C. questions regarding motion were presented as touchstones for the most fundamental concepts about existence. Such wide ranging philosophical issues are beyond the scope of this book, however, consider the paradox of the flying arrow attri buted to Zeno of Elea: An arrow is shot from point A to point B requiring a sequence of time instants to traverse the distance. Now, for any time instant, T, of the sequence the arrow is at a position, Pi' and at Ti+! the i arrow is at Pi+i> with Pi ::I-P+• Clearly, each Ti must be a singular time i 1 unit at which the arrow is at rest at Pi because if the arrow were moving during Ti there would be a further sequence, Til' of time instants required for the arrow to traverse the smaller distance. Now, regardless of the level to which this recursive argument is applied, one is left with the flight of the arrow comprising a sequence of positions at which the arrow is at rest. The original intent of presenting this paradox has been interpreted to be as an argument against the possibility of individuated objects moving in space.

Qualitative Motion Understanding

Author : Wilhelm Burger,Bir Bhanu
Publisher : Springer Science & Business Media
Page : 220 pages
File Size : 45,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461535669

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Qualitative Motion Understanding by Wilhelm Burger,Bir Bhanu Pdf

Mobile robots operating in real-world, outdoor scenarios depend on dynamic scene understanding for detecting and avoiding obstacles, recognizing landmarks, acquiring models, and for detecting and tracking moving objects. Motion understanding has been an active research effort for more than a decade, searching for solutions to some of these problems; however, it still remains one of the more difficult and challenging areas of computer vision research. Qualitative Motion Understanding describes a qualitative approach to dynamic scene and motion analysis, called DRIVE (Dynamic Reasoning from Integrated Visual Evidence). The DRIVE system addresses the problems of (a) estimating the robot's egomotion, (b) reconstructing the observed 3-D scene structure; and (c) evaluating the motion of individual objects from a sequence of monocular images. The approach is based on the FOE (focus of expansion) concept, but it takes a somewhat unconventional route. The DRIVE system uses a qualitative scene model and a fuzzy focus of expansion to estimate robot motion from visual cues, to detect and track moving objects, and to construct and maintain a global dynamic reference model.

Motion History Images for Action Recognition and Understanding

Author : Md. Atiqur Rahman Ahad
Publisher : Springer Science & Business Media
Page : 116 pages
File Size : 47,8 Mb
Release : 2012-12-28
Category : Computers
ISBN : 9781447147305

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Motion History Images for Action Recognition and Understanding by Md. Atiqur Rahman Ahad Pdf

Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers. The large number of possible variations in human motion and appearance, camera viewpoint, and environment, present considerable challenges. Some important and common problems remain unsolved by the computer vision community. However, many valuable approaches have been proposed over the past decade, including the motion history image (MHI) method. This method has received significant attention, as it offers greater robustness and performance than other techniques. This work presents a comprehensive review of these state-of-the-art approaches and their applications, with a particular focus on the MHI method and its variants.

Understanding Motion Capture for Computer Animation and Video Games

Author : Alberto Menache
Publisher : Morgan Kaufmann
Page : 268 pages
File Size : 47,6 Mb
Release : 2000
Category : Computers
ISBN : 0124906303

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Understanding Motion Capture for Computer Animation and Video Games by Alberto Menache Pdf

Motion capture is a technique for recording a performance and then translating it into mathematical terms. Animating motion is critical for the development of applications such as animation, virtual environments and video games. Character animation is the process by which natural movements are modelled and digitized so that digital character movements appear as natural as possible. There are three approaches to character animation: keyframe animation, motion capture, and simulation.

Human Motion

Author : Bodo Rosenhahn,Reinhard Klette,Dimitris Metaxas
Publisher : Springer Science & Business Media
Page : 628 pages
File Size : 50,9 Mb
Release : 2008
Category : Computers
ISBN : 9781402066924

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Human Motion by Bodo Rosenhahn,Reinhard Klette,Dimitris Metaxas Pdf

This is the first book which informs about recent progress in biomechanics, computer vision and computer graphics – all in one volume. Researchers from these areas have contributed to this book to promote the establishment of human motion research as a multi-facetted discipline and to improve the exchange of ideas and concepts between these three areas. The book combines carefully written reviews with detailed reports on recent progress in research.

Machine Learning for Vision-Based Motion Analysis

Author : Liang Wang,Guoying Zhao,Li Cheng,Matti Pietikäinen
Publisher : Springer Science & Business Media
Page : 372 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.

Modelling Human Motion

Author : Nicoletta Noceti,Alessandra Sciutti,Francesco Rea
Publisher : Springer Nature
Page : 351 pages
File Size : 53,9 Mb
Release : 2020-07-09
Category : Computers
ISBN : 9783030467326

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Modelling Human Motion by Nicoletta Noceti,Alessandra Sciutti,Francesco Rea Pdf

The new frontiers of robotics research foresee future scenarios where artificial agents will leave the laboratory to progressively take part in the activities of our daily life. This will require robots to have very sophisticated perceptual and action skills in many intelligence-demanding applications, with particular reference to the ability to seamlessly interact with humans. It will be crucial for the next generation of robots to understand their human partners and at the same time to be intuitively understood by them. In this context, a deep understanding of human motion is essential for robotics applications, where the ability to detect, represent and recognize human dynamics and the capability for generating appropriate movements in response sets the scene for higher-level tasks. This book provides a comprehensive overview of this challenging research field, closing the loop between perception and action, and between human-studies and robotics. The book is organized in three main parts. The first part focuses on human motion perception, with contributions analyzing the neural substrates of human action understanding, how perception is influenced by motor control, and how it develops over time and is exploited in social contexts. The second part considers motion perception from the computational perspective, providing perspectives on cutting-edge solutions available from the Computer Vision and Machine Learning research fields, addressing higher-level perceptual tasks. Finally, the third part takes into account the implications for robotics, with chapters on how motor control is achieved in the latest generation of artificial agents and how such technologies have been exploited to favor human-robot interaction. This book considers the complete human-robot cycle, from an examination of how humans perceive motion and act in the world, to models for motion perception and control in artificial agents. In this respect, the book will provide insights into the perception and action loop in humans and machines, joining together aspects that are often addressed in independent investigations. As a consequence, this book positions itself in a field at the intersection of such different disciplines as Robotics, Neuroscience, Cognitive Science, Psychology, Computer Vision, and Machine Learning. By bridging these different research domains, the book offers a common reference point for researchers interested in human motion for different applications and from different standpoints, spanning Neuroscience, Human Motor Control, Robotics, Human-Robot Interaction, Computer Vision and Machine Learning. Chapter 'The Importance of the Affective Component of Movement in Action Understanding' of this book is available open access under a CC BY 4.0 license at link.springer.com.

Dance Notations and Robot Motion

Author : Jean-Paul Laumond,Naoko Abe
Publisher : Springer
Page : 430 pages
File Size : 42,8 Mb
Release : 2015-11-24
Category : Technology & Engineering
ISBN : 9783319257396

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Dance Notations and Robot Motion by Jean-Paul Laumond,Naoko Abe Pdf

How and why to write a movement? Who is the writer? Who is the reader? They may be choreographers working with dancers. They may be roboticists programming robots. They may be artists designing cartoons in computer animation. In all such fields the purpose is to express an intention about a dance, a specific motion or an action to perform, in terms of intelligible sequences of elementary movements, as a music score that would be devoted to motion representation. Unfortunately there is no universal language to write a motion. Motion languages live together in a Babel tower populated by biomechanists, dance notators, neuroscientists, computer scientists, choreographers, roboticists. Each community handles its own concepts and speaks its own language. The book accounts for this diversity. Its origin is a unique workshop held at LAAS-CNRS in Toulouse in 2014. Worldwide representatives of various communities met there. Their challenge was to reach a mutual understanding allowing a choreographer to access robotics concepts, or a computer scientist to understand the subtleties of dance notation. The liveliness of this multidisciplinary meeting is reflected by the book thank to the willingness of authors to share their own experiences with others.

Understanding Physics Using Mathematical Reasoning

Author : Andrzej Sokolowski
Publisher : Springer Nature
Page : 208 pages
File Size : 42,8 Mb
Release : 2021-08-20
Category : Education
ISBN : 9783030802059

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Understanding Physics Using Mathematical Reasoning by Andrzej Sokolowski Pdf

This book speaks about physics discoveries that intertwine mathematical reasoning, modeling, and scientific inquiry. It offers ways of bringing together the structural domain of mathematics and the content of physics in one coherent inquiry. Teaching and learning physics is challenging because students lack the skills to merge these learning paradigms. The purpose of this book is not only to improve access to the understanding of natural phenomena but also to inspire new ways of delivering and understanding the complex concepts of physics. To sustain physics education in college classrooms, authentic training that would help develop high school students’ skills of transcending function modeling techniques to reason scientifically is needed and this book aspires to offer such training The book draws on current research in developing students’ mathematical reasoning. It identifies areas for advancements and proposes a conceptual framework that is tested in several case studies designed using that framework. Modeling Newton’s laws using limited case analysis, Modeling projectile motion using parametric equations and Enabling covariational reasoning in Einstein formula for the photoelectric effect represent some of these case studies. A wealth of conclusions that accompany these case studies, drawn from the realities of classroom teaching, is to help physics teachers and researchers adopt these ideas in practice.

Computational Studies of Human Motion

Author : David Forsyth
Publisher : Now Publishers Inc
Page : 188 pages
File Size : 47,5 Mb
Release : 2006
Category : Automatic tracking
ISBN : 9781933019307

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Computational Studies of Human Motion by David Forsyth Pdf

Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis reviews methods for kinematic tracking of the human body in video. The review confines itself to the earlier stages of motion, focusing on tracking and motion synthesis. There is an extensive discussion of open issues. The authors identify some puzzling phenomena associated with the choice of human motion representation --- joint angles vs. joint positions. The review concludes with a quick guide to resources and an extensive bibliography of over 400 references. Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis is an invaluable reference for those engaged in computational geometry, computer graphics, image processing, imaging in general, and robotic.

Experiments in the Machine Interpretation of Visual Motion

Author : David W. Murray,Bernard F. Buxton
Publisher : MIT Press
Page : 276 pages
File Size : 40,8 Mb
Release : 1990
Category : Computers
ISBN : 026213263X

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Experiments in the Machine Interpretation of Visual Motion by David W. Murray,Bernard F. Buxton Pdf

This book describes experimental advances made in the interpretation of visual motion over the last few years that have moved researchers closer to emulating the way in which we recover information about the surrounding world.

Computational Analysis of Visual Motion

Author : Amar Mitiche
Publisher : Springer Science & Business Media
Page : 242 pages
File Size : 53,9 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9781475797855

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Computational Analysis of Visual Motion by Amar Mitiche Pdf

Image motion processing is important to machine vision systems because it can lead to the recovery of 3D structure and motion. Author Amar Mitiche offers a comprehensive mathematical treatment of this key subject in visual systems research. Mitiche examines the interpretation of point correspondences as well as the interpretation of straight line correspondences and optical flow. In addition, the author considers interpretation by knowledge-based systems and presents the relevant mathematical basis for 3D interpretation.

Understanding Scientific Understanding

Author : Henk W. de Regt
Publisher : Oxford University Press
Page : 256 pages
File Size : 45,5 Mb
Release : 2017-07-24
Category : Science
ISBN : 9780190652937

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Understanding Scientific Understanding by Henk W. de Regt Pdf

It is widely acknowledged that a central aim of science is to achieve understanding of the world around us, and that possessing such understanding is highly important in our present-day society. But what does it mean to achieve this understanding? What precisely is scientific understanding? These are philosophical questions that have not yet received satisfactory answers. While there has been an ongoing debate about the nature of scientific explanation since Carl Hempel advanced his covering-law model in 1948, the related notion of understanding has been largely neglected, because most philosophers regarded understanding as merely a subjective by-product of objective explanations. By contrast, this book puts scientific understanding center stage. It is primarily a philosophical study, but also contains detailed historical case studies of scientific practice. In contrast to most existing studies in this area, it takes into account scientists' views and analyzes their role in scientific debate and development. The aim of Understanding Scientific Understanding is to develop and defend a philosophical theory of scientific understanding that can describe and explain the historical variation of criteria for understanding actually employed by scientists. The theory does justice to the insights of such famous physicists as Werner Heisenberg and Richard Feynman, while bringing much-needed conceptual rigor to their intuitions. The scope of the proposed account of understanding is the natural sciences: while the detailed case studies derive from physics, examples from other sciences are presented to illustrate its wider validity.