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Real‐time 3D human pose and motion reconstruction from monocular RGB videos

Authors: Yiannakides, Anastasios; Aristidou, Andreas; Chrysanthou, Yiorgos; Yiannakides, Anastasios; Aristidou, Andreas; Chrysanthou, Yiorgos;

Real‐time 3D human pose and motion reconstruction from monocular RGB videos

Abstract

Real-time three-dimensional (3D) pose estimation is of high interest in interactive applications, virtual reality, activity recognition, and most importantly, in the growing gaming industry. In this work, we present a method that captures and reconstructs the 3D skeletal pose and motion articulation of multiple characters using a monocular RGB camera. Our method deals with this challenging, but useful, task by taking advantage of the recent development in deep learning that allows two-dimensional (2D) pose estimation of multiple characters and the increasing availability of motion capture data. We fit 2D estimated poses, extracted from a single camera via OpenPose, with a 2D multiview joint projections database that is associated with their 3D motion representations. We then retrieve the 3D body pose of the tracked character, ensuring throughout that the reconstructed movements are natural, satisfy the model constraints, are within a feasible set, and are temporally smooth without jitters. We demonstrate the performance of our method in several examples, including human locomotion, simultaneously capturing of multiple characters, and motion reconstruction from different camera views.

3-4

30

Country
Cyprus
Subjects by Vocabulary

Microsoft Academic Graph classification: Monocular business.industry Computer science Motion reconstruction Monocular video RGB color model Computer vision Artificial intelligence business

Keywords

Computer Graphics and Computer-Aided Design, Software

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    13
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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    Powered byBIP!BIP!
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
hybrid