Using computer vision for 3D probabilistic reconstruction and motion tracking

Authors

  • Gisele Moraes Simas
  • Guilherme P. Fickel
  • Lucas Novelo
  • Rodrigo A. De Bem
  • Silvia S. C. Botelho

Keywords:

Reconstrução volumétrica probabilística 3D, Rastreamento de movimento, Múltiplas câmeras, Grid de Ocupação Probabilístico

Abstract

This paper presents an approach to the 3D visual tracking problem into multi-camera environments. This proposal executes the markerless visual tracking observing the environment through a model based in a volumetric reconstruction technique, called 3D Probabilistic Occupancy Grid, which is still seldom used for this purpose. The target is tracked by the use of Expectation-Maximization algorithm with an object representation model constructed with Gaussians blobs representing the object body parts.

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Author Biography

Silvia S. C. Botelho

Professora Doutora em Informática e Telecomunicações - FURG

Published

2010-12-01

How to Cite

Simas, G. M., Fickel, G. P., Novelo, L., De Bem, R. A., & Botelho, S. S. C. (2010). Using computer vision for 3D probabilistic reconstruction and motion tracking. VETOR - Journal of Exact Sciences and Engineering, 17(2), 59–77. Retrieved from https://seer.furg.br/vetor/article/view/1675

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Articles

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