Download or read book Probabilistic Tracking and Reconstruction of 3D Human Motion in Monocular Video Sequences written by Hedvig Sidenbladh and published by . This book was released on 2001 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Methods in Video Processing written by Dorin Comaniciu and published by Springer. This book was released on 2004-12-06 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book 3D Human Motion Tracking and Pose Estimation Using Probabilistic Activity Models written by John Darby and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Humanoid Robots written by Armando Carlos De Pina Filho and published by BoD – Books on Demand. This book was released on 2007-06-01 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many years, the human being has been trying, in all ways, to recreate the complex mechanisms that form the human body. Such task is extremely complicated and the results are not totally satisfactory. However, with increasing technological advances based on theoretical and experimental researches, man gets, in a way, to copy or to imitate some systems of the human body. These researches not only intended to create humanoid robots, great part of them constituting autonomous systems, but also, in some way, to offer a higher knowledge of the systems that form the human body, objectifying possible applications in the technology of rehabilitation of human beings, gathering in a whole studies related not only to Robotics, but also to Biomechanics, Biomimmetics, Cybernetics, among other areas. This book presents a series of researches inspired by this ideal, carried through by various researchers worldwide, looking for to analyze and to discuss diverse subjects related to humanoid robots. The presented contributions explore aspects about robotic hands, learning, language, vision and locomotion.
Download or read book Human Motion Understanding Modeling Capture and Animation written by Ahmed Elgammal and published by Springer. This book was released on 2007-11-15 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second Workshop on Human Motion, HumanMotion 2007, held in Rio de Janeiro, Brazil October 2007 in conjunction with ICCV 2007. The 22 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on motion capture and pose estimation, body and limb tracking and segmentation and activity recognition.
Download or read book Visual Perception for Manipulation and Imitation in Humanoid Robots written by Pedram Azad and published by Springer Science & Business Media. This book was released on 2009-11-19 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dealing with visual perception in robots and its applications to manipulation and imitation, this monograph focuses on stereo-based methods and systems for object recognition and 6 DoF pose estimation as well as for marker-less human motion capture.
Download or read book Computational Studies of Human Motion written by David Forsyth and published by Now Publishers Inc. This book was released on 2006 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistical Analysis of 3D Modeling from Monocular Video Streams written by Amit K. Roy-Chowdhury and published by . This book was released on 2002 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D scene modeling from a video sequence is considered to be one of the most important problems in computer vision. Its successful solution has numerous possibilities in applications like multimedia communications, surveillance, virtual reality, automatic navigation, medical prognosis, etc. One of the most powerful techniques for solving this problem is known as structure from motion (SfM). Briefy, the SfM problem is about recovering the absolute or relative depth of static and moving objects using video acquired from single or multiple video cameras. The most challenging problem is when only a monocular video is present and we require a dense estimate of the depth. Successful solution of this problem requires a detailed understanding of the geometry of the 3D world and its 2D projections on the image planes. However, the motion between adjacent frames of a video sequence is usually very small, thus introducing large errors in its estimation. Hence, in order to obtain a satisfactory solution, it is important to understand the statistics of these errors and their in teraction with the geometry of the problem. The overall aim of this thesis is to show how to combine the statistics describing the quality of the input video data with an understanding of the geometry, in order to obtain an accurate 3D scene reconstruction from a video sequence using the optical flow model. In our work, we pose the 3D reconstruction problem in an estimation-theoretic framew ork. We adopt the optical flow paradigm for modeling the motion between the frames of the video sequence. We show how the statistics of the errors in the input motion estimates are propagated through the 3D reconstruction algorithm and affect the quality of the output. We present a new result: that the 3D estimate is always statistically biased, and the magnitude of this bias is signifficant. In order to demonstrate our analysis in a practical application, we consider the problem of reconstructing a 3D model of a human face from video. An algorithm is proposed that obtains a robust 3D model by fusing two-frame estimates using stochastic approximation theory and then combines it with a generic face model in a Markov chain Monte Carlo optimization procedure. We address the question of how to automatically evaluate the quality of a 3D reconstruction from a video sequence, and presen a criterion using concepts from information theory . Finally, we propose a probabilistic registration algorithm that extends the results of our work to create holistic 3D models from multiple video streams.
Download or read book Pattern Recognition written by DAGM (Organization). Symposium and published by Springer Science & Business Media. This book was released on 2003-09-16 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th Symposium of the German Association for Pattern Recognition, DAGM 2003, held in Magdeburg, Germany in September 2003. The 74 revised papers presented were carefully reviewed and selected from more than 140 submissions. The papers address all current issues in pattern recognition and are organized in sections on image analyses, callibration and 3D shape, recognition, motion, biomedical applications, and applications.
Download or read book Machine Learning for Image Based Motion Capture written by Ankur Agarwal and published by . This book was released on 2006 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image based motion capture is a problem that has recently gained a lot of attention in the domain of understanding human motion in computer vision. The problem involves estimating the 3D configurations of a human body from a set of images and has applications that include human computer interaction, smart surveillance, video analysis and animation. This thesis takes a machine learning based approach to reconstructing 3D pose and motion from monocular images or video. It makes use of a collection of images and motion capture data to derive mathematical models that allow the recovery of full body configurations directly from image features. The approach is completely data-driven and avoids the use of a human body mode!. This makes the inference extremely fast. We formulate a class of regression based methods to distill a large training database of motion capture and image data into a compact model that generalizes to predicting pose from new images. The methods rely on using appropriately developed robust image descriptors, learning dynamical models of human motion, and kernelizing the input within a sparse regression framework. Firstly, it is shown how pose can effectively and efficiently be recovered from image silhouettes that are extracted using background subtraction. We exploit sparseness properties of the relevance vector machine for improved generalization and efficiency, and make use of a mixture of reg ressors for probabilistically handling ambiguities that are present in monocular silhouette based 3D reconstruction. The methods developed enable pose reconstruction from single images as weil as tracking motion in video sequences. Secondly, the framework is extended to recover 3D pose from cluttered images by introducing a suitable image encoding that is resistant to changes in background. We show that non-negative matrix factorization can be used to suppress background features and allow the regression to selectively cue on features from the foreground human body. Finally, we study image encoding methods in a broader context and present a novel multi-Ievel image encoding framework called 'hyperfeatures' that proves to be effective for object recognition and image classification tasks.
Download or read book Pattern Recognition written by Bernd Michaelis and published by Springer. This book was released on 2003-09-09 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th Symposium of the German Association for Pattern Recognition, DAGM 2003, held in Magdeburg, Germany in September 2003. The 74 revised papers presented were carefully reviewed and selected from more than 140 submissions. The papers address all current issues in pattern recognition and are organized in sections on image analyses, callibration and 3D shape, recognition, motion, biomedical applications, and applications.
Download or read book Pattern Recognition and Image Analysis written by Sameer Singh and published by Springer. This book was released on 2005-10-03 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: This LNCS volume contains the papers presented at the 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005) organized in August, 2005 in the beautiful city of Bath, UK.
Download or read book Computer Vision ECCV 2002 written by Anders Heyden and published by Springer. This book was released on 2002-05-17 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: Premiering in 1990 in Antibes, France, the European Conference on Computer Vision, ECCV, has been held biennially at venues all around Europe. These conferences have been very successful, making ECCV a major event to the computer vision community. ECCV 2002 was the seventh in the series. The privilege of organizing it was shared by three universities: The IT University of Copenhagen, the University of Copenhagen, and Lund University, with the conference venue in Copenhagen. These universities lie ̈ geographically close in the vivid Oresund region, which lies partly in Denmark and partly in Sweden, with the newly built bridge (opened summer 2000) crossing the sound that formerly divided the countries. We are very happy to report that this year’s conference attracted more papers than ever before, with around 600 submissions. Still, together with the conference board, we decided to keep the tradition of holding ECCV as a single track conference. Each paper was anonymously refereed by three different reviewers. For the ?nal selection, for the ?rst time for ECCV, a system with area chairs was used. These met with the program chairsinLundfortwodaysinFebruary2002toselectwhatbecame45oralpresentations and 181 posters.Also at this meeting the selection was made without knowledge of the authors’identity.
Download or read book Probabilistic Tracking and Recognition of Non rigid Human Motion written by Fei Huang and published by . This book was released on 2006 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Pattern Recognition written by Rudolf Mester and published by Springer. This book was released on 2011-09-02 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 33rd Symposium of the German Association for Pattern Recognition, DAGM 2011, held in Frankfurt/Main, Germany, in August/September 2011. The 20 revised full papers and 22 revised poster papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on object recognition, adverse vision conditions challenge, shape and matching, segmentation and early vision, robot vision, machine learning, and motion. The volume also includes the young researcher's forum, a section where a carefully jury-selected ensemble of young researchers present their Master thesis work.
Download or read book Computer Vision ECCV 2004 written by Tomas Pajdla and published by Springer. This book was released on 2004-05-12 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the proceedings of the 8th European Conference on Computer - sion! Following a very successful ECCV 2002, the response to our call for papers was almost equally strong – 555 papers were submitted. We accepted 41 papers for oral and 149 papers for poster presentation. Several innovations were introduced into the review process. First, the n- ber of program committee members was increased to reduce their review load. We managed to assign to program committee members no more than 12 papers. Second, we adopted a paper ranking system. Program committee members were asked to rank all the papers assigned to them, even those that were reviewed by additional reviewers. Third, we allowed authors to respond to the reviews consolidated in a discussion involving the area chair and the reviewers. Fourth, thereports,thereviews,andtheresponsesweremadeavailabletotheauthorsas well as to the program committee members. Our aim was to provide the authors with maximal feedback and to let the program committee members know how authors reacted to their reviews and how their reviews were or were not re?ected in the ?nal decision. Finally, we reduced the length of reviewed papers from 15 to 12 pages. ThepreparationofECCV2004wentsmoothlythankstothee?ortsofthe- ganizing committee, the area chairs, the program committee, and the reviewers. We are indebted to Anders Heyden, Mads Nielsen, and Henrik J. Nielsen for passing on ECCV traditions and to Dominique Asselineau from ENST/TSI who kindly provided his GestRFIA conference software. We thank Jan-Olof Eklundh and Andrew Zisserman for encouraging us to organize ECCV 2004 in Prague.
Download or read book Encyclopedia of Information Science and Technology written by Mehdi Khosrow-Pour and published by IGI Global Snippet. This book was released on 2009 with total page 4292 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.
