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

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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

6 Zitate (Scopus)

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.

OriginalspracheEnglisch
Titel2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Seiten2465-2468
Seitenumfang4
DOIs
PublikationsstatusVeröffentlicht - 2010
Veranstaltung2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hongkong
Dauer: 26 Sept. 201029 Sept. 2010

Publikationsreihe

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

Konferenz

Konferenz2010 17th IEEE International Conference on Image Processing, ICIP 2010
Land/GebietHongkong
OrtHong Kong
Zeitraum26/09/1029/09/10

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