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» Feature-aided particle tracking
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ICIP
2006
IEEE
15 years 5 months ago
Recursive Clustering for Multiple Object Tracking
In this paper, we propose a method to track multiple deformable objects in video sequences using a recursive clustering scheme. In a first step, a set of Gabor filter banks is u...
Séverine Dubuisson
BILDMED
2009
251views Algorithms» more  BILDMED 2009»
15 years 29 days ago
Probabilistic Tracking and Model-Based Segmentation of 3D Tubular Structures
Abstract. We introduce a new approach for tracking-based segmentation of 3D tubular structures. The approach is based on a novel combination of a 3D cylindrical intensity model and...
Stefan Wörz, William J. Godinez, Karl Rohr
DAGSTUHL
2007
15 years 1 months ago
Logical Particle Filtering
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack ...
CORR
2008
Springer
91views Education» more  CORR 2008»
14 years 12 months ago
Particle Filtering for Large Dimensional State Spaces with Multimodal Observation Likelihoods
We study efficient importance sampling techniques for particle filtering (PF) when either (a) the observation likelihood (OL) is frequently multimodal or heavy-tailed, or (b) the s...
Namrata Vaswani
TSMC
2010
14 years 6 months ago
A Two-Stage Dynamic Model for Visual Tracking
We propose a new dynamic model which can be used within blob trackers to track the target's center of gravity. A strong point of the model is that it is designed to track a va...
Matej Kristan, Stanislav Kovacic, Ales Leonardis, ...