Human movement analysis around a view circle using time-order similarity distributions

Chi Hung Chuang, Jun-Wei Hsieh*, Hui Fen Chiang, Yi Da Chiou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This paper presents a new behavior classification system to analyze human movements around a view circle using time-order similarity distributions. To maintain the view in-variance, an action is represented not only from its spatial domain but also its temporal domain. After that, a novel alignment scheme is proposed for aligning each action to a fixed view. With the best view, the task of behavior analysis becomes a string matching problem. One novel idea proposed in this paper is to code a posture using not only its best matched key posture but also other unmatched key postures to form various similarity distributions. Then, recognition of two actions becomes a problem of matching two time-order distributions which can be very effectively solved by comparing their KL distance via a dynamic programming scheme.

Original languageEnglish
Pages (from-to)22-34
Number of pages13
JournalJournal of Visual Communication and Image Representation
StatePublished - 1 Jul 2015


  • Action classification
  • Behavior analysis
  • Centroid context
  • HMM
  • Symmetrical projection
  • Time-order similarity distribution
  • Video surveillance
  • View alignment
  • View circle
  • View invariance


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