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000837993 0247_ $$2doi$$a10.1145/3070617.3070636
000837993 037__ $$aFZJ-2017-06741
000837993 041__ $$aEnglish
000837993 1001_ $$0P:(DE-Juel1)130749$$aKang, Kyongok$$b0$$eCorresponding author
000837993 1112_ $$aIEEA '17 Proceedings of the 6th International Conference on Informatics, Environment, Energy and Applications$$cJeju$$d2017-03-29 - 2017-03-31$$gIEEA2017$$wSouth Korea
000837993 245__ $$aImage-time correlation and its applications
000837993 260__ $$bACM Press             New York, New York, USA$$c2017
000837993 29510 $$aProceedings of the 6th International Conference on Informatics, Environment, Energy and Applications  - IEEA '17 - ACM Press             New York, New York, USA, 2017. - ISBN 9781450352307 - doi:10.1145/3070617.3070636
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000837993 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000837993 520__ $$aIn 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.
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000837993 773__ $$a10.1145/3070617.3070636
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000837993 9141_ $$y2017
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