Capturing Human Motion In Natural Environments

Zhiqing Cheng, Anthony Ligouri,Ryan Fogle, Timothy Webb

6TH INTERNATIONAL CONFERENCE ON APPLIED HUMAN FACTORS AND ERGONOMICS (AHFE 2015) AND THE AFFILIATED CONFERENCES, AHFE 2015(2015)

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摘要
The problem of capturing human motion in a natural environment is discussed from the perspective of needs, significance, scenarios, and technical challenges. The technologies that can be potentially used to capture human motion and activity in a natural environment are briefly discussed with an emphasis on computer vision-based markerless motion capture technology. Three representative markerless motion capture methods for capturing human motion from video imagery are implemented in this paper. The synthetic data generated by modeling and simulation and the data collected in laboratory environments are used for the training and validation. The initial results of three methods are presented and analyzed, and the advantages and disadvantages of each are discussed and compared. (C) 2015 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
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关键词
Motion capture, Markerless motion capture, Computer vision, Discriminative model, Generative model, Pictorial structure
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