Low Level Recognition of Human Motion ( Or How to Get Your Man Without Finding his Body Parts )

  title={Low Level Recognition of Human Motion ( Or How to Get Your Man Without Finding his Body Parts )},
  author={Ramprasad Polana and Randal NelsonDepartment},
The recognition of human movements such as walk ing running or climbing has been approached previ ously by tracking a number of feature points and either classifying the trajectories directly or matching them with a high level model of the movement A major di culty with these methods is acquiring and tracking the requisite feature points which are generally speci c joints such as knees or ankles This requires previous recognition and or part segmentation of the actor In this paper we show that… CONTINUE READING
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Publications referenced by this paper.
Showing 1-4 of 4 references

Detection and representation of eventsin motion trajectories

  • K. Rangarajan, andM. A. Shah.
  • 1992

Change detection and tracking using pyramid transform techniques

  • C. H. Anderson, P. J. Burt, G. S. van der Wal.
  • 1990

The interpretation of biological motion

  • E. Flinchbuagh.
  • Biological Cybernatics

Visual perception ofbiological motion and a model for its analysis

  • R. C. Nelson.
  • Per - ception and Psychophysics

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