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» Computability of Models for Sequence Assembly
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ECCV
2002
Springer
15 years 12 months ago
Fusion of Multiple Tracking Algorithms for Robust People Tracking
This paper shows how the output of a number of detection and tracking algorithms can be fused to achieve robust tracking of people in an indoor environment. The new tracking system...
Nils T. Siebel, Stephen J. Maybank
ICIP
2005
IEEE
15 years 11 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
ICIP
2001
IEEE
15 years 11 months ago
Tracking of human activities using shape-encoded particle propagation
We present an approach to tracking human activities in a monocular video. We model the human body by decomposing it into torso and limbs and use simple 3D shapes to approximate th...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
ICDE
2004
IEEE
120views Database» more  ICDE 2004»
15 years 11 months ago
Substructure Clustering on Sequential 3d Object Datasets
In this paper, we will look at substructure clustering of sequential 3d objects. A sequential 3d object is a set of points located in a three dimensional space that are linked up ...
Zhenqiang Tan, Anthony K. H. Tung
ICPR
2008
IEEE
15 years 11 months ago
Spatio-temporal 3D pose estimation and tracking of human body parts using the Shape Flow algorithm
In this contribution we introduce the Shape Flow algorithm (SF), a novel method for spatio-temporal 3D pose estimation of a 3D parametric curve. The SF is integrated into a tracki...
Markus Hahn, Lars Krüger, Christian Wöhl...