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» A mode preserving particle filter
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ICASSP
2011
IEEE
12 years 9 months ago
A mode preserving particle filter
A new particle filtering technique is proposed which addresses the problem of mode preservation in the approximation of multi-modal posteriors. The key is a resampling step which...
Mark R. Morelande, Alan M. Zhang
TIP
2010
141views more  TIP 2010»
13 years 1 days ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach
TIP
2010
147views more  TIP 2010»
13 years 1 days ago
Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations
We propose algorithms for tracking the boundary contour of a deforming object from an image sequence, when the nonaffine (local) deformation over consecutive frames is large and th...
Namrata Vaswani, Yogesh Rathi, Anthony J. Yezzi, A...
ICASSP
2007
IEEE
13 years 7 months ago
Particle Filter with Mode Tracker(PF-MT) for Visual Tracking Across Illumination Change
Amit Kale, Namrata Vaswani, Christopher O. Jaynes