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» Practical Super-Resolution from Dynamic Video Sequences
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CVPR
2008
IEEE
14 years 9 months ago
Extracting a fluid dynamic texture and the background from video
Given the video of a still background occluded by a fluid dynamic texture (FDT), this paper addresses the problem of separating the video sequence into its two constituent layers....
Bernard Ghanem, Narendra Ahuja
ICCV
2003
IEEE
14 years 9 months ago
View-invariant Alignment and Matching of Video Sequences
In this paper, we propose a novel method to establish temporal correspondence between the frames of two videos. 3D epipolar geometry is used to eliminate the distortion generated ...
Cen Rao, Alexei Gritai, Mubarak Shah, Tanveer Fath...
CVPR
2005
IEEE
14 years 9 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
ACCV
2009
Springer
14 years 2 months ago
Crowd Flow Characterization with Optimal Control Theory
Abstract. Analyzing the crowd dynamics from video sequences is an open challenge in computer vision. Under a high crowd density assumption, we characterize the dynamics of the crow...
Pierre Allain, Nicolas Courty, Thomas Corpetti
ICIP
2006
IEEE
14 years 9 months ago
Estimation of Dynamic Background for Fluorescence Video-Microscopy
This paper describes a method for separating moving objects from temporally varying background in time-lapse confocal microscopy image sequences representing fluorescently tagged ...
Charles Kervrann, Jérôme Boulanger, P...