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» Video stabilization using robust feature trajectories
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CVPR
2012
IEEE
11 years 10 months ago
Social behavior recognition in continuous video
We present a novel method for analyzing social behavior. Continuous videos are segmented into action ‘bouts’ by building a temporal context model that combines features from s...
Xavier P. Burgos-Artizzu, Piotr Dollár, Day...
SIGIR
2009
ACM
14 years 2 months ago
Automatic video tagging using content redundancy
The analysis of the leading social video sharing platform YouTube reveals a high amount of redundancy, in the form of videos with overlapping or duplicated content. In this paper,...
Stefan Siersdorfer, José San Pedro, Mark Sa...
IROS
2006
IEEE
151views Robotics» more  IROS 2006»
14 years 1 months ago
Robust Feature Correspondences for Vision-Based Navigation with Slow Frame-Rate Cameras
— We propose a vision-based inertial system that overcomes the problems associated with slow update rates in navigation systems based on high-resolution cameras. Due to bandwidth...
Darius Burschka
EXPERT
2010
145views more  EXPERT 2010»
13 years 5 months ago
Interaction Analysis with a Bayesian Trajectory Model
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Alessio Dore, Carlo S. Regazzoni
ICASSP
2011
IEEE
12 years 11 months ago
Feature-based global motion estimation using the Helmholtz principle
Global motion estimation is an important task for various video processing techniques. The estimation itself has to be robust in presence of arbitrarily moving foreground objects....
Michael Tok, Alexander Glantz, Andreas Krutz, Thom...