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» Robust background estimation for complex video sequences
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CVPR
2000
IEEE
14 years 10 months ago
Representation and Recognition of Complex Human Motion
The quest for a vision system capable of representing and recognizing arbitrary motions benefits from a low dimensional, non-specific representation of flow fields, to be used in ...
Jesse Hoey, James J. Little
PAMI
2012
11 years 11 months ago
Simultaneous Video Stabilization and Moving Object Detection in Turbulence
Turbulence mitigation refers to the stabilization of videos with non-uniform deformations due to the influence of optical turbulence. Typical approaches for turbulence mitigation ...
Omar Oreifej, Xin Li, and Mubarak Shah
CGVR
2006
13 years 9 months ago
Calibration-free Line-based Tracking for Video Augmentation
This paper presents a calibration-free line-based tracking method to augment virtual objects into a video sequence. The presented method uses a cube on the first image to calibrat...
Bolan Jiang
BMCBI
2008
104views more  BMCBI 2008»
13 years 8 months ago
ReRep: Computational detection of repetitive sequences in genome survey sequences (GSS)
Background: Genome survey sequences (GSS) offer a preliminary global view of a genome since, unlike ESTs, they cover coding as well as non-coding DNA and include repetitive region...
Thomas D. Otto, Leonardo H. F. Gomes, Marcelo Alve...
CRV
2005
IEEE
181views Robotics» more  CRV 2005»
14 years 1 months ago
New Multi-baseline Stereo by Counting Interest Points
This paper proposes a novel method for estimating depth from a long image sequence captured by a moving camera. Our idea for estimating a depth map is very simple; only counting i...
Tomokazu Sato, Naokazu Yokoya