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Representing And Recognizing Motion Trajectories: A Tube And Droplet Approach

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Published:03 November 2014Publication History

ABSTRACT

This paper addresses the problem of representing and recognizing motion trajectories. We first propose to derive scene-related equipotential lines for points in a motion trajectory and concatenate them to construct a 3D tube for representing the trajectory. Based on this 3D tube, a droplet-based method is further proposed which derives a "water droplet" from the 3D tube and recognizes trajectory activities accordingly. Our proposed 3D tube can effectively embed both motion and scene-related information of a motion trajectory while the proposed droplet- based method can suitably catch the characteristics of the 3D tube for activity recognition. Experimental results demonstrate the effectiveness of our approach.

References

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  1. Representing And Recognizing Motion Trajectories: A Tube And Droplet Approach

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    • Published in

      cover image ACM Conferences
      MM '14: Proceedings of the 22nd ACM international conference on Multimedia
      November 2014
      1310 pages
      ISBN:9781450330633
      DOI:10.1145/2647868

      Copyright © 2014 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 3 November 2014

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      MM '14 Paper Acceptance Rate55of286submissions,19%Overall Acceptance Rate995of4,171submissions,24%

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