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1887

IEE Colloquium on Motion Analysis and Tracking

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  • Location: London, UK
  • Conference date: 10 May 1999
  • Conference number: 1999/103
  • The following topics were dealt with: feature tracking in real world scenes (or how to track a cow); a Bayesian theory of multi-scale cross-correlation in images; designing video-joysticks; finding continuous-model moving shapes by evidence gathering; target identification in complex maritime scene; the time-gradient Hough transform; CDWT optical flow applied to moving target detection; segmenting image sequences by embedding motion and colour cues within a contextual relaxation scheme; combining segmentation by nonlinear diffusion and shape adaptive block-matching for content-based coding; automatic gait recognition; marker based motion capture in biomedical applications; image sequence segmentation using mixture-models with uniqueness and spatio-temporal consistency constraints; motion estimation and tracking using multiresolution affine models; motion analysis for video coding and retrieval; higher order spatial transformations for motion analysis and modelling; correcting velocity measurements by tracking of linear features; tracking objects in underwater multibeam sonar Images; robust multi-frame motion estimation with motion compensated prediction applications

19 items found

  • A Bayesian theory of multi-scale cross-correlation in images
  • Correcting velocity measurements by tracking of linear features
  • Tracking objects in underwater multibeam sonar images
  • Robust multi-frame motion estimation with motion compensated prediction applications
  • Designing video-joysticks
  • Finding continuous-model moving shapes by evidence gathering
  • Target identification in a complex maritime scene
  • The time-gradient Hough transform - a novel algorithm from meteor science
  • CDWT optical flow applied to moving target detection
  • Segmenting image sequences by embedding motion and colour cues within a contextual relaxation scheme
  • Combining segmentation by nonlinear diffusion and shape adaptive block-matching for content based coding
  • Feature tracking in real world scenes (or how to track a cow)
  • Automatic gait recognition
  • Marker based motion capture in biomedical applications
  • Human walking: tracking and analysis
  • Image sequence segmentation using mixture-models with uniqueness and spatio-temporal consistency constraints
  • Motion estimation and tracking using multiresolution affine models
  • Motion analysis for video coding and retrieval
  • Higher order spatial transformations for motion analysis and modelling
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