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ICIP
2003
IEEE
15 years 5 months ago
A flexible multimodal object tracking system
In this paper we present a flexible multimodal object tracking system. It is based on a particle filter which combines the outputs of different measurement methods (also called ...
Harald Breit, Gerhard Rigoll
CVPR
2001
IEEE
16 years 1 months ago
Automatic Partitioning of High Dimensional Search Spaces Associated with Articulated Body Motion Capture
Particle filters have proven to be an effective tool for visual tracking in non-gaussian, cluttered environments. Conventional particle filters however do not scale to the problem...
Jonathan Deutscher, Andrew J. Davison, Ian D. Reid
ISBI
2007
IEEE
15 years 6 months ago
Sub-Resolution Maximum-Likelihood Based Localization of Fluorescent Nanoparticles in Three Dimensions
Several recent studies have shown that fluorescent particles can be localized with an accuracy that is well beyond traditional resolution limits. Using a theoretical model of the...
François Aguet, Dimitri Van De Ville, Micha...
ICPR
2004
IEEE
16 years 28 days ago
Evaluation of Three Optical Flow-Based Observation Models for Tracking
In this paper, we study the use of optical flow as a characteristic for tracking. We analyze the behavior of three flowbased observation models for particle filter algorithms, and...
José M. Fuertes, Manuel J. Lucena, Nicolas ...
ICASSP
2009
IEEE
15 years 6 months ago
Multi-view tracking of articulated human motion in silhouette and pose manifolds
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
Feng Guo, Gang Qian