A 3-D-Point-Cloud System for Human-Pose Estimation

• Published in: IEEE transactions on systems, man, and cybernetics. Systems Vol. 44; no. 11; pp. 1486 - 1497
• Main Authors: Kai-Chi Chan, Cheng-Kok Koh, Lee, C. S. George
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3-D-point-cloud feature; action classification; Ambiguity; Classification; Errors; Estimating; Estimation; Feature extraction; Human; human-pose estimation; Kinematics; Manifolds; Preserves; Shape; Three dimensional; Vegetation; 3-D-point-cloud feature; action classification; human-pose estimation

This paper focuses on human-pose estimation using a stationary depth sensor. The main challenge concerns reducing the feature ambiguity and modeling human poses in high-dimensional human-pose space because of the curse of dimensionality. We propose a 3-D-point-cloud system that captures the geometri...