Vision-Based 2D and 3D Human Activity Recognition

Original language	English
Publisher	Department of Architecture, Design & Media Technology, Aalborg University
Print ISBNs	978-87-992732-6-3
Publication status	Published - 2012

Access to Document

• PhD dissertationSubmitted manuscript, 37.8 MB

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Projects

• 1 Active

Projects per year

• Big Brother <em>is</em> watching you! - Extracting a good quality face image from a poor quality surveillance video<strong/>

  Moeslund, T. B., Holte, M. B., Fihl, P., Hansen, D. M. & Nasrollahi, K.

  <ingen navn>

  01/10/2007 → …

  Project: Research

  • Face Image 100%
  • surveillance video 89%
  • Images 82%
  • Surveillance Camera 74%
  • Moving Object 74%

Press/Media

• Fuldautomatiserede overvågningssystemer pibler frem

  Thomas B. Moeslund & Michael Boelstoft Holte

  30/10/2009

  1 item of Media coverage

  Press/Media: Press / Media

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Holte, M. B. (2012). Vision-Based 2D and 3D Human Activity Recognition. Department of Architecture, Design & Media Technology, Aalborg University.

Holte, Michael Boelstoft. / Vision-Based 2D and 3D Human Activity Recognition. Department of Architecture, Design & Media Technology, Aalborg University, 2012. 195 p.

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title = "Vision-Based 2D and 3D Human Activity Recognition",

author = "Holte, {Michael Boelstoft}",

year = "2012",

language = "English",

isbn = "978-87-992732-6-3",

publisher = "Department of Architecture, Design & Media Technology, Aalborg University",

address = "Denmark",

}

Holte, MB 2012, 'Vision-Based 2D and 3D Human Activity Recognition'.

Vision-Based 2D and 3D Human Activity Recognition. / Holte, Michael Boelstoft.
Department of Architecture, Design & Media Technology, Aalborg University, 2012. 195 p.

Research output: PhD thesis

TY - GEN

T1 - Vision-Based 2D and 3D Human Activity Recognition

AU - Holte, Michael Boelstoft

PY - 2012

Y1 - 2012

M3 - PhD thesis

SN - 978-87-992732-6-3

PB - Department of Architecture, Design & Media Technology, Aalborg University

ER -

Holte MB. Vision-Based 2D and 3D Human Activity Recognition. Department of Architecture, Design & Media Technology, Aalborg University, 2012. 195 p.