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» Measurement Error Estimation for Feature Tracking
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DAGM
2009
Springer
15 years 2 months ago
Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning
Abstract. Guided Kanade-Lucas-Tomasi (GKLT) tracking is a suitable way to incorporate knowledge about camera parameters into the standard KLT tracking approach for feature tracking...
Michael Trummer, Christoph Munkelt, Joachim Denzle...
ACCV
2007
Springer
15 years 11 months ago
Spatiotemporal Oriented Energy Features for Visual Tracking
This paper presents a novel feature set for visual tracking that is derived from “oriented energies”. More specifically, energy measures are used to capture a target’s multi...
Kevin Cannons, Richard Wildes
ICASSP
2011
IEEE
14 years 8 months ago
Generalizations of Blom And Bloem's PDF decomposition for permutation-invariant estimation
Minimum mean squared error estimates generally are not optimal in terms of a common track error statistic used in tracking benchmarks, namely a form of the Mean Optimal Subpattern...
David Frederic Crouse, Peter Willett, Yaakov Bar-S...
ICCV
2001
IEEE
16 years 7 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
MVA
1990
160views Computer Vision» more  MVA 1990»
15 years 6 months ago
Estimating the Pose and Motion of a Known Object for Real-Time Robotic Tracking
An approach for estimating the pose and motion of a known moving object in three dimensions from a sequence of monocular images is considered. The principle is to obtain initial e...
Olli Silvén