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ICDM
2006
IEEE
153views Data Mining» more  ICDM 2006»
16 years 4 days 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 11 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
15 years 4 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
16 years 8 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
16 years 8 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