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VISTA - Spatio-Temporal Vision
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Vista research work is concerned with various types of spatio-temporal images (mainly video images, but also video-microscopy and X-ray images). We are investigating methods to analyze dynamic scenes, and, more generally, dynamic phenomena, within image sequences. We address the full range of problems raised by the analysis of such dynamic contents with a focus on image motion analysis issues: space-time denoising, motion detection, motion estimation, motion-based segmentation, tracking, motion recognition and interpretation with learning. We usually rely on statistical approaches, resorting to: Markov models, Bayesian inference, robust estimation, particle filtering, learning. Application-wise, we focus our attention on two main domains: content-aware video applications and biological imaging. For that, a number of collaborations, academic and industrial, national and international, are set up.
 
  Project leader: Patrick Pérez
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  Webmaster : vista_webmaster@irisa.fr   Last modified: 18-09-2009 |
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