PittsburghV1, France, Analysis, bibRecord, 000317

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

Identifieur interne : 000317 ( France/Analysis ); précédent : 000316; suivant : 000318

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

Auteurs : David F. Fouhey [États-Unis] ; Vincent Delaitre [France] ; Abhinav Gupta [États-Unis] ; Alexei A. Efros [États-Unis] ; Ivan Laptev [France] ; Josef Sivic [France]

Source :

International journal of computer vision [ 0920-5691 ] ; 2014.

RBID : Pascal:15-0003765

Descripteurs français

Pascal (Inist)
- Analyse scène, Image fixe, Vision ordinateur, Multimédia, Signal vidéo, Internet, Image tridimensionnelle, Analyse comportementale, Action, Estimation mouvement, Reconstruction image, Traitement image, Posture, Vision monoculaire, Site Web, Installation intérieure.
Wicri :
- topic : Multimédia.

English descriptors

KwdEn :
- Action, Behavioral analysis, Computer vision, Fixed image, Image processing, Image reconstruction, Indoor installation, Internet, Monocular vision, Motion estimation, Multimedia, Posture, Scene analysis, Tridimensional image, Video signal, Web site.

Abstract

We present an approach which exploits the coupling between human actions and scene geometry to use 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 on the scene. These constraints are then used to improve single-view 3D scene understanding approaches. The proposed method is validated on monocular time-lapse sequences from YouTube and still images of indoor scenes gathered from the Internet. We demonstrate that observing people performing different actions can significantly improve estimates of 3D scene geometry.

Url:

https://hal.inria.fr/hal-01066257

Affiliations:

Links to Exploration step

Pascal:15-0003765

Le document en format XML

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<front><div type="abstract" xml:lang="en">We present an approach which exploits the coupling between human actions and scene geometry to use 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 on the scene. These constraints are then used to improve single-view 3D scene understanding approaches. The proposed method is validated on monocular time-lapse sequences from YouTube and still images of indoor scenes gathered from the Internet. We demonstrate that observing people performing different actions can significantly improve estimates of 3D scene geometry.</div>
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People Watching: Human Actions as a Cue for Single View Geometry

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

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

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