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@INPROCEEDINGS{Kang:837993,
      author       = {Kang, Kyongok},
      title        = {{I}mage-time correlation and its applications},
      publisher    = {ACM Press New York, New York, USA},
      reportid     = {FZJ-2017-06741},
      pages        = {98-101},
      year         = {2017},
      comment      = {Proceedings of the 6th International Conference on
                      Informatics, Environment, Energy and Applications - IEEA '17
                      - ACM Press New York, New York, USA, 2017. - ISBN
                      9781450352307 - doi:10.1145/3070617.3070636},
      booktitle     = {Proceedings of the 6th International
                       Conference on Informatics, Environment,
                       Energy and Applications - IEEA '17 -
                       ACM Press New York, New York, USA,
                       2017. - ISBN 9781450352307 -
                       doi:10.1145/3070617.3070636},
      abstract     = {In this paper, Image-time correlation is a beneficial
                      technique to apply various applications of dynamical events,
                      where temporal changes of positions of particles (or
                      objects) can be quantified, constructed by the collection of
                      time-resolved video data. With the fast development of
                      camera technologies and imaging softwares, the optimization
                      of time-binning and spatial-resolution are much
                      friendly-used for the imaging analysis. Time-dependent
                      different regions of interest (ROIs) can be chosen, such
                      that the time resolution of subsequent images should be at
                      least 10 times faster than the actual dynamical events. Then
                      time-correlation function will be calculated by the 2d
                      intensity-intensity correlation of an each pixel-pixel of
                      individual time frame of image, and the initial slope of
                      correlation function gives a characteristic time scale that
                      measures the average magnitude of particle velocities within
                      the field-of-view. The advantage of image-time correlation
                      is easy to implement as compared to the PIV (particle
                      imaging velocimetry). In this short proceeding, the
                      performance of image-time correlation is highlighted through
                      a number of applications; such as the slowing down behaviors
                      of collective dynamics of orientation textures,
                      dimer-oscillations in rod-networks, and clay (platelet)
                      migrations in an oil-water droplet. In each system, the
                      interpretation of image-time correlation is addressed, based
                      on the experimental observations.},
      month         = {Mar},
      date          = {2017-03-29},
      organization  = {IEEA '17 Proceedings of the 6th
                       International Conference on
                       Informatics, Environment, Energy and
                       Applications, Jeju (South Korea), 29
                       Mar 2017 - 31 Mar 2017},
      cin          = {ICS-3},
      cid          = {I:(DE-Juel1)ICS-3-20110106},
      pnm          = {551 - Functional Macromolecules and Complexes (POF3-551)},
      pid          = {G:(DE-HGF)POF3-551},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.1145/3070617.3070636},
      url          = {https://juser.fz-juelich.de/record/837993},
}