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AROBOTS
2011
13 years 2 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
ICCV
2003
IEEE
14 years 9 months ago
A Caratheodory-Fejer Approach to Robust Multiframe Tracking
A requirement common to most dynamic vision applications is the ability to track objects in a sequence of frames. This problem has been extensively studied in the past few years, ...
Octavia I. Camps, Hwasup Lim, Cecilia Mazzaro, Mar...
ISCAS
2007
IEEE
149views Hardware» more  ISCAS 2007»
14 years 1 months ago
Convergence Analysis of the Unscented Kalman Filter for Filtering Noisy Chaotic Signals
— The unscented Kalman filter (UKF) has recently been proposed for filtering noisy chaotic signals. Though computationally advantageous, the UKF has not been thoroughly analyze...
Jiuchao Feng, Hongjuan Fan, Chi K. Michael Tse
PAMI
2006
182views more  PAMI 2006»
13 years 7 months ago
Multicue HMM-UKF for Real-Time Contour Tracking
We propose an HMM model for contour detection based on multiple visual cues in spatial domain and improve it by joint probabilistic matching to reduce background clutter. It is fu...
Yunqiang Chen, Yong Rui, Thomas S. Huang