Key-Posture Extraction Out of Human Motion Data by Curve Simplification

Abstract

Recent progress in 3-D capture technology has made it possible to obtain much of realistic motion data of human subjects. Being captured in high frame rates compression or extraction of key postures out of the motion data is useful for storage transfer and browsing among them: this can serve as an important pre-processing for applications such as rehabilitation ergonomics and sports physiology. This paper addresses these problems by treating the motion data as trajectory curves in a high-dimensional space and doing a novel application of a curve simplification algorithm typically used for planar curves to human motion data.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412579

Entities

People

  • Daniel Thalmann
  • Ik S. Lim

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Automated Text Summarization
  • Classification
  • Compression
  • Computer Graphics
  • Curve Fitting
  • Engineering
  • Graphics
  • Image Processing
  • Magnetic Devices
  • Military Research
  • Orientation (Direction)
  • Pattern Recognition
  • Standards
  • Time Intervals
  • Trajectories

Fields of Study

  • Computer science

Readers

  • Computer Vision.

Technology Areas

  • Space