Motion capture keyframing by motion change manipulation

Ming Hwa Kim, Lap Pui Chau, Wan Chi Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Motion capture (mocap) has becoming popular and widely used in various applications. Keyframing is an important tool to select the important frames of the motion sequence to represent the overall motion sequence and regenerate the original motion based on interpolation from the keyframes. In this paper, we would like to propose a new keyframe selection method that analyses the motion activity of the mocap data. The motion changes are considered if the frames are dropped and the difference with original frames is compared to evaluate the importance of the frames that were dropped. A threshold value is used to determine the significance of the frames dropped. More significant frames are kept as keyframes while less significant frames are skipped and can be reconstructed with cubic spline interpolation. Simulation results show that the proposed method is able to produce an overall good visual quality for all types of motion capture because of motion activity analysis. A comparison with curve simplification method is made and shows an improvement of up to 70% in terms of mean square error metric.

Original languageEnglish
Title of host publicationICICS 2011 - 8th International Conference on Information, Communications and Signal Processing
DOIs
Publication statusPublished - Dec 2011
Event8th International Conference on Information, Communications and Signal Processing, ICICS 2011 - Singapore, Singapore
Duration: 13 Dec 201116 Dec 2011

Publication series

NameICICS 2011 - 8th International Conference on Information, Communications and Signal Processing

Conference

Conference8th International Conference on Information, Communications and Signal Processing, ICICS 2011
Country/TerritorySingapore
CitySingapore
Period13/12/1116/12/11

Keywords

  • keyframe extraction
  • Motion capture

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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