Recognizing jump patterns with physics-based validation in human moving trajectory

Hua-Tsung Chen*, Kuo Lian Ma, Jen-Hui Chuang, Horng Horng Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


This paper presents an approach to recognize jump patterns in human moving trajectory, differentiating jump tracks from planar moving tracks. Since human moving trajectory is one of the most informative representations for content understanding and event detection, trajectory-based video analysis has been gaining popularity. However, a jump action typically leads to violent change in human moving trajectory, since the person suddenly leaves the original plane on which he/she has been moving. The abnormal tracks of the trajectory would influence the performance of trajectory-based video analysis. Hence, differentiating jump tracks from planar moving tracks is of vital importance, not to mention that jump actions typically imply significant events, especially in sports games. In this paper, volleyball videos are used as case study to demonstrate the effectiveness of our proposed jump pattern recognition approach. We derive player trajectory by head tracking, analyze the movement of each player, and recognize potential jump tracks in player trajectories based on two important characteristics: (1) jumps cause pulse-like tracks in the trajectory and (2) the extensions of such tracks go through the vanishing point of vertical lines in the scenes. Finally, the jump positions/heights are estimated, in addition to the planar moving trajectory of each player on the court ground. The experiments show that satisfactory results can be obtained with the proposed recognition scheme.

Original languageEnglish
Pages (from-to)1191-1203
Number of pages13
JournalJournal of Visual Communication and Image Representation
Issue number7
StatePublished - 11 Sep 2013


  • 3D trajectory approximation
  • Camera calibration
  • Content-based multimedia analysis
  • Object tracking
  • Pattern recognition
  • Sports video analysis
  • Trajectory analysis
  • Volleyball video

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