A two-step methodology for human pose estimation increasing the accuracy and reducing the amount of learning samples dramatically

Azrour, Samir; Pierard, Sébastien; Geurts, Pierre; Van Droogenbroeck, Marc

doi:10.1007/978-3-319-70353-4_1

Paper published in a book (Scientific congresses and symposiums)

A two-step methodology for human pose estimation increasing the accuracy and reducing the amount of learning samples dramatically

Azrour, Samir; Pierard, Sébastien; Geurts, Pierre et al.

2017 • In Advanced Concepts for Intelligent Vision Systems

Peer reviewed

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https://hdl.handle.net/2268/214238

DOI
10.1007/978-3-319-70353-4_1

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A two-step methodology for human pose estimation increasing the accuracy and reducing the amount of learning samples dramatically

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Keywords :

Human pose estimation; Orientation; Machine learning

Abstract :

[en] In this paper, we present a two-step methodology to improve existing human pose estimation methods from a single depth image. Instead of learning the direct mapping from the depth image to the 3D pose, we first estimate the orientation of the standing person seen by the camera and then use this information to dynamically select a pose estimation model suited for this particular orientation. We evaluated our method on a public dataset of realistic depth images with precise ground truth joints location. Our experiments show that our method decreases the error of a state-of-the-art pose estimation method by 30%, or reduces the size of the needed learning set by a factor larger than 10.

Research Center/Unit :

Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège
Telim

Disciplines :

Computer science

Author, co-author :

Azrour, Samir ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications

Pierard, Sébastien ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications

Geurts, Pierre ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Algorith. des syst. en interaction avec le monde physique

Van Droogenbroeck, Marc ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications

Language :

English

Title :

A two-step methodology for human pose estimation increasing the accuracy and reducing the amount of learning samples dramatically

Publication date :

September 2017

Event name :

Advanced Concepts for Intelligent Vision Systems (ACIVS 2017)

Event organizer :

Rudi Penne and Paul Scheunders

Event place :

Antwerpen, Belgium

Event date :

from 18-09-2017 to 21-09-2017

Audience :

International

Main work title :

Advanced Concepts for Intelligent Vision Systems

Publisher :

Springer

Collection name :

Lecture Notes in Computer Science, volume 10617

Pages :

3-14

Peer reviewed :

Peer reviewed

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique

Available on ORBi :

since 13 September 2017

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Bibliography

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