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ICDM
2006
IEEE
153views Data Mining» more  ICDM 2006»
15 years 3 months ago
k-STARs: Sequences of Spatio-Temporal Association Rules
A Spatio-Temporal Association Rule (STAR) describes how objects move between regions over time. Since they describe only a single movement between two regions, it is very difficu...
Florian Verhein
DSSCV
2005
Springer
15 years 3 months ago
Histogram Statistics of Local Model-Relative Image Regions
Abstract. We present a novel approach to statistically characterize histograms of model-relative image regions. A multiscale model is used as an aperture to define image regions a...
Robert E. Broadhurst, Joshua Stough, Stephen M. Pi...
UIST
2010
ACM
14 years 7 months ago
Combining multiple depth cameras and projectors for interactions on, above and between surfaces
Instrumented with multiple depth cameras and projectors, LightSpace is a small room installation designed to explore a variety of interactions and computational strategies related...
Andrew D. Wilson, Hrvoje Benko
CVPR
2004
IEEE
15 years 11 months ago
Efficient Tracking with the Bounded Hough Transform
The Bounded Hough Transform is introduced to track objects in a sequence of sparse range images. The method is based upon a variation of the General Hough Transform that exploits ...
Michael A. Greenspan, Limin Shang, Piotr Jasiobedz...
CVPR
1999
IEEE
15 years 11 months ago
Explaining Optical Flow Events with Parameterized Spatio-Temporal Models
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
Michael J. Black