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Motion Fields to Predict Play Evolution in Dynamic Sport Scenes
(Georgia Institute of Technology, 2010-06)
Videos of multi-player team sports provide a challenging
domain for dynamic scene analysis. Player actions and interactions
are complex as they are driven by many factors,
such as the short-term goals of the individual ...
Detecting Regions of Interest in Dynamic Scenes with Camera Motions
(Georgia Institute of Technology, 2012-06)
We present a method to detect the regions of interests in
moving camera views of dynamic scenes with multiple moving
objects. We start by extracting a global motion tendency
that reflects the scene context by tracking ...
Gaussian Process Regression Flow for Analysis of Motion Trajectories
(Georgia Institute of Technology, 2011-11)
Recognition of motions and activities of objects in videos
requires effective representations for analysis and matching
of motion trajectories. In this paper, we introduce a
new representation specifically aimed at ...
Player Localization Using Multiple Static Cameras for Sports Visualization
(Georgia Institute of Technology, 2010-06)
We present a novel approach for robust localization of multiple
people observed using multiple cameras. We use
this location information to generate sports visualizations,
which include displaying a virtual offside line ...