Segmentation and recognition of motion streams by similarity search

Chuanjun Li*, S. Q. Zheng, B. Prabhakaran

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

44 Citations (Scopus)

Abstract

Fast and accurate recognition of motion data streams from gesture sensing and motion capture devices has many applications and is the focus of this article. Based on the analysis of the geometric structures revealed by singular value decompositions (SVD) of motion data, a similarity measure is proposed for simultaneously segmenting and recognizing motion streams. A direction identification approach is explored to further differentiate motions with similar data geometric structures. Experiments show that the proposed similarity measure can segment and recognize motion streams of variable lengths with high accuracy, without knowing beforehand the number of motions in a stream.

Original languageEnglish
Article number1236475
JournalACM Transactions on Multimedia Computing, Communications and Applications
Volume3
Issue number3
DOIs
Publication statusPublished - 1 Aug 2007
Externally publishedYes

Keywords

  • Gesture recognition
  • Motion capture
  • Pattern analysis
  • Principal component analysis
  • Segmentation
  • Similarity measures
  • Singular value decomposition

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