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» A mutual information approach to articulated object tracking
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ICIP
2006
IEEE
14 years 10 months ago
Model-Free, Statistical Detection and Tracking of Moving Objects
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
Mark Ross
ICPR
2010
IEEE
13 years 8 months ago
Optimization of Target Objects for Natural Feature Tracking
— This paper investigates possible physical alterations of tracking targets to obtain improved 6DoF pose detection for a camera observing the known targets. We explore the influe...
Lukas Gruber, Stefanie Zollmann, Daniel Wagner, Di...
DAGM
2001
Springer
14 years 1 months ago
Optimal Camera Parameter Selection for State Estimation with Applications in Object Recognition
In this paper we introduce a formalism for optimal camera parameter selection for iterative state estimation. We consider a framework based on Shannon’s information theory and se...
Joachim Denzler, Christopher M. Brown, Heinrich Ni...
ICIP
2008
IEEE
14 years 10 months ago
Hybrid tracking approach using optical flow and pose estimation
This paper proposes an hybrid approach to estimate the 3D pose of an object. The integration of texture information based on image intensities in a more classical non-linear edge-...
Éric Marchand, Étienne Mémin,...
ESORICS
2009
Springer
14 years 9 months ago
Tracking Information Flow in Dynamic Tree Structures
Abstract. This paper explores the problem of tracking information flow in dynamic tree structures. Motivated by the problem of manipulating the Document Object Model (DOM) trees by...
Alejandro Russo, Andrei Sabelfeld, Andrey Chudnov