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Monocular reconstruction of human translation in motion sequence by MTA

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GRAPHITE '07: Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia

Pages 79 - 86

https://doi.org/10.1145/1321261.1321275

Published: 01 December 2007 Publication History

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Abstract

A motion trend analysis method is proposed to reconstruct human motion from un-calibrated monocular video. In this paper, relocation of human subject is the main concern, which is one of the most difficult parts in motion reconstruction and critically affects the accuracy of human posture generation. Numerical studies are conducted on experiments from synthetic and real video data to demonstrate the correctness of the recovered human translation in the proposed system.

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Cited By

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Nopvichai KKanongchaiyos P(2010)3D hand motion retargeting from video image sequence2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)10.1109/ICCAE.2010.5451323(670-674)Online publication date: Feb-2010
https://doi.org/10.1109/ICCAE.2010.5451323

Index Terms

Monocular reconstruction of human translation in motion sequence by MTA
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Reconstruction
  2. Computer graphics
    1. Animation
    2. Image manipulation
2. Mathematics of computing
  1. Mathematical analysis
    1. Numerical analysis
      1. Computation of transforms

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GRAPHITE '07: Proceedings of the 5th international conference on Computer graphics and interactive techniques in Australia and Southeast Asia

December 2007

335 pages

ISBN:9781595939128

DOI:10.1145/1321261

Conference Chair:
Andrew Rohl
iVEC

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 01 December 2007

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SIGGRAPH

GRAPHITE07: International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia

December 1 - 4, 2007

Perth, Australia

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Overall Acceptance Rate 124 of 241 submissions, 51%

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Nopvichai KKanongchaiyos P(2010)3D hand motion retargeting from video image sequence2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)10.1109/ICCAE.2010.5451323(670-674)Online publication date: Feb-2010
https://doi.org/10.1109/ICCAE.2010.5451323

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Automatic reconstruction of 3D human motion pose from uncalibrated monocular video sequences based on markerless human motion tracking

Automatic 3D CBIR on kinematical human motion

Sequential Articulated Motion Reconstruction from a Monocular Image Sequence

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