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» Robust background estimation for complex video sequences
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CVPR
2010
IEEE
14 years 4 months ago
The Cluttered Background Problem for Active Contours: A Minimum-Latency Solution
We present a region-based active contour detection algorithm for objects that exhibit relatively homogeneous photometric characteristics (e.g. smooth color or gray levels), embedd...
Stefano Soatto, Ganesh Sundaramoorthi, Anthony Yez...
CVIU
2011
13 years 2 months ago
Action recognition with appearance-motion features and fast search trees
In this paper we propose an approach for action recognition based on a vocabulary of local motion-appearance features and fast approximate search in a large number of trees. Large...
Krystian Mikolajczyk, Hirofumi Uemura
IJCV
2006
107views more  IJCV 2006»
13 years 8 months ago
Behavioral Priors for Detection and Tracking of Pedestrians in Video Sequences
In this paper we address the problem of detection and tracking of pedestrians in complex scenarios. The inclusion of prior knowledge is more and more crucial in scene analysis to g...
Gianluca Antonini, Santiago Venegas-Martinez, Mich...
CISS
2010
IEEE
12 years 11 months ago
Fast robust reconstruction of large-scale environments
—The approach presented in this paper tackles the active research problem of the fast automatic modeling of large-scale environments from videos with millions of frames and colle...
Jan-Michael Frahm, Marc Pollefeys, Svetlana Lazebn...
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...