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PAMI
2007
214views more  PAMI 2007»
14 years 9 months ago
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
—Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or part...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
88
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ICAT
2003
IEEE
15 years 2 months ago
Head Motion Prediction in Augmented Reality Systems Using Monte Carlo Particle Filters
A basic problem with Augmented Reality systems using Head-Mounted Displays (HMDs) is the perceived latency or lag. This delay corresponds to the elapsed time between the moment wh...
Fakhreddine Ababsa, Jean-Yves Didier, Malik Mallem...
CVIU
2007
154views more  CVIU 2007»
14 years 9 months ago
Smart particle filtering for high-dimensional tracking
Tracking articulated structures like a hand or body within a reasonable time is challenging because of the high dimensionality of the state space. Recently, a new optimization met...
Matthieu Bray, Esther Koller-Meier, Luc J. Van Goo...
CVPR
2009
IEEE
16 years 4 months ago
Discriminatively Trained Particle Filters for Complex Multi-Object Tracking
This work presents a discriminative training method for particle filters in the context of multi-object tracking. We are motivated by the difficulty of hand-tuning the many mode...
Alan Fern, Robin Hess
BMVC
2010
14 years 7 months ago
A 2D+t Feature-preserving Non-local Means Filter for Image Denoising and Improved Detection of Small and Weak Particles
A feature-preserving non-local means (FP-NLM) filter has been developed recently for denoising images containing small and weak particlelike objects. It explores the commonly used...
Lei Yang, Richard Parton, Graeme Ball, Zhen Qiu, A...