Author: David Forsyth
Publisher: Now Publishers Inc
ISBN: 1933019301
Category : Automatic tracking
Languages : en
Pages : 188
Get Book Here
Book Description
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.
Author: David A. Forsyth
Publisher:
ISBN:
Category : Human locomotion
Languages : en
Pages : 178
Get Book Here
Book Description
Author: Bodo Rosenhahn
Publisher: Springer Science & Business Media
ISBN: 1402066929
Category : Computers
Languages : en
Pages : 628
Get Book Here
Book Description
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.
Author: Christoph Bregler
Publisher:
ISBN:
Category : Human locomotion
Languages : en
Pages : 238
Get Book Here
Book Description
Author: Honghai Liu
Publisher: Springer
ISBN: 3662536927
Category : Technology & Engineering
Languages : en
Pages : 287
Get Book Here
Book Description
This book introduces readers to the latest exciting advances in human motion sensing and recognition, from the theoretical development of fuzzy approaches to their applications. The topics covered include human motion recognition in 2D and 3D, hand motion analysis with contact sensors, and vision-based view-invariant motion recognition, especially from the perspective of Fuzzy Qualitative techniques. With the rapid development of technologies in microelectronics, computers, networks, and robotics over the last decade, increasing attention has been focused on human motion sensing and recognition in many emerging and active disciplines where human motions need to be automatically tracked, analyzed or understood, such as smart surveillance, intelligent human-computer interaction, robot motion learning, and interactive gaming. Current challenges mainly stem from the dynamic environment, data multi-modality, uncertain sensory information, and real-time issues. These techniques are shown to effectively address the above challenges by bridging the gap between symbolic cognitive functions and numerical sensing & control tasks in intelligent systems. The book not only serves as a valuable reference source for researchers and professionals in the fields of computer vision and robotics, but will also benefit practitioners and graduates/postgraduates seeking advanced information on fuzzy techniques and their applications in motion analysis.
Author: Nicoletta Noceti
Publisher: Springer Nature
ISBN: 3030467325
Category : Computers
Languages : en
Pages : 351
Get Book Here
Book Description
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.
Author: Karim Abdel-Malek
Publisher: Academic Press
ISBN: 0124046010
Category : Computers
Languages : en
Pages : 296
Get Book Here
Book Description
Simulate realistic human motion in a virtual world with an optimization-based approach to motion prediction. With this approach, motion is governed by human performance measures, such as speed and energy, which act as objective functions to be optimized. Constraints on joint torques and angles are imposed quite easily. Predicting motion in this way allows one to use avatars to study how and why humans move the way they do, given specific scenarios. It also enables avatars to react to infinitely many scenarios with substantial autonomy. With this approach it is possible to predict dynamic motion without having to integrate equations of motion -- rather than solving equations of motion, this approach solves for a continuous time-dependent curve characterizing joint variables (also called joint profiles) for every degree of freedom. Introduces rigorous mathematical methods for digital human modelling and simulation Focuses on understanding and representing spatial relationships (3D) of biomechanics Develops an innovative optimization-based approach to predicting human movement Extensively illustrated with 3D images of simulated human motion (full color in the ebook version)
Author: Xiaoyang Yang
Publisher:
ISBN:
Category :
Languages : en
Pages : 170
Get Book Here
Book Description
In this dissertation, we used computational models to answer two questions about human perception. First, what is the underlying computational mechanism of the stereokinetic effect in human structure from motion perception? Second, what is the functional nature of the boundary extension effects in human natural scene perception? To answer the first question, we extended the motion coherence theory in two-dimensional (2D) space (Yuille and Grzywacz, 1988) and the minimal total motion theory in 3D space (Rokers, Yuille, and Liu, 2006). We framed the underlying computational mechanism as an optimization problem. We proposed that among all the 2D and 3D structure interpretations, the one that gives rise to the minimal and spatially smoothest motion is preferred by the visual system, and such structure interpretation is perceived by human observers. We also found that it is important to take into account the higher order motion spatial smoothness. The computational model we proposed was able to predict human 2D and 3D structure from motion perception in varies scenarios. We concluded that the perceptual ambiguity of structure and related motion can be resolved using the minimal total motion and spatially smooth motion principle alone, and any additional assumptions are not necessary. To answer the second question, we designed two visual memory experiments that made use of a modified test procedure that allowed us to explore boundary extension in terms of signal detection theory. We asked questions about the perceived viewing distance change between study and test scenes from two different psychological dimensions: in terms of close or wide or in terms of change or no change. We found that a criterion bias could explain the boundary extension effects when we asked the perceived viewing distance change in terms of close or wide. In contrast, both discrimination sensitivity and bias contributed to the boundary extension effects when we asked the perceived viewing distance change in terms of change or no change. Remarkably, these results could be explained in a straightforward manner by the multisource model (Intraub, 2010; 2012), with a simple assumption that the view-angle of a memorized scene widened.
Author:
Publisher: Springer
ISBN: 3642326633
Category : Computers
Languages : en
Pages : 200
Get Book Here
Book Description
The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. The 16th issue of the Transactions on Computational Science journal contains 11 extended versions of selected papers from Cyberworlds 2011, held in Banff, AB, Canada, in October 2011. The topics span the areas of haptic modeling, shared virtual worlds, virtual reality, human-computer interfaces, e-learning in virtual collaborative spaces, multi-user web games, cybersecurity, social networking, and art and heritage in cyberspaces.
Author: Muralidhara Subbarao
Publisher: Morgan Kaufmann
ISBN: 1483258920
Category : Computers
Languages : en
Pages : 152
Get Book Here
Book Description
Interpretation of Visual Motion: A Computational Study provides an information processing point of view to the phenomenon of visual motion. This book discusses the computational theory formulated for recovering the scene from monocular visual motion, determining the local geometry and rigid body motion of surfaces from spatio-temporal parameters of visual motion. This compilation also provides a theoretical and computational framework for future research on visual motion, both in human vision and machine vision areas. Other topics include the computation of image flow from intensity derivatives, instantaneous image flow due to rigid motion, time and space-time derivatives of image flow, and estimation of maximum absolute error. This publication is recommended for professionals and non-specialists intending to acquire knowledge of visual motion.
