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People Watching: Human Actions as a Cue for Single View Geometry

  • David F. Fouhey
  • Vincent Delaitre
  • Abhinav Gupta
  • Alexei A. Efros
  • Ivan Laptev
  • Josef Sivic
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7576)

Abstract

We present an approach which exploits the coupling between human actions and scene geometry. We investigate the use of human pose as a cue for single-view 3D scene understanding. Our method builds upon recent advances in still-image pose estimation to extract functional and geometric constraints about the scene. These constraints are then used to improve state-of-the-art single-view 3D scene understanding approaches. The proposed method is validated on a collection of monocular time-lapse sequences collected from YouTube and a dataset of still images of indoor scenes. We demonstrate that observing people performing different actions can significantly improve estimates of 3D scene geometry.

Keywords

Single Image Functional Region Indoor Scene Scene Geometry People Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • David F. Fouhey
    • 1
  • Vincent Delaitre
    • 2
  • Abhinav Gupta
    • 1
  • Alexei A. Efros
    • 1
    • 2
  • Ivan Laptev
    • 2
  • Josef Sivic
    • 2
  1. 1.Carnegie Mellon UniversityUSA
  2. 2.INRIA/École Normale SupérieureParisFrance

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