Cue-independent extending inverse kinematics for robust pose estimation in 3D point clouds

Nicolas H. Lehment, Moritz Kaiser, Dejan Arsić, Gerhard Rigoll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

While monocular gesture recognition slowly reaches maturity, the inclusion of 3D gestures remains a challenge. In order to enable robust and versatile depth-enabled gestures, a depth-image based tracking approach is developed. Using a model-based annealing particle filter approach, the pose of a single subject is retrieved and tracked over longer image and motion sequences. Other than many previous depth-image based systems, full body tracking is performed. The system is independent from specific camera types and is independent from color or texture cues. Pose space exploration in complex kinematic chains is enhanced by considering extending inverse kinematics. Exploiting the highly parallel nature of the 3D point based approach, the algorithm is partially implemented on a GPU, leading to near real time performance.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages2465-2468
Number of pages4
DOIs
StatePublished - 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: 26 Sep 201029 Sep 2010

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2010 17th IEEE International Conference on Image Processing, ICIP 2010
Country/TerritoryHong Kong
CityHong Kong
Period26/09/1029/09/10

Keywords

  • 3D
  • Annealing particle filter
  • Inverse kinematics
  • Pose estimation
  • Pose tracking
  • Stereo

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