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ICIAP
2007
ACM
14 years 5 months ago
Adaptive uncertainty estimation for particle filter-based trackers
In particle filter?based visual trackers, dynamic velocity components are typically incorporated into the state update equations. In these cases, there is a risk that the uncertai...
Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Di...
ICIP
2001
IEEE
14 years 6 months ago
Tracking of human activities using shape-encoded particle propagation
We present an approach to tracking human activities in a monocular video. We model the human body by decomposing it into torso and limbs and use simple 3D shapes to approximate th...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
13 years 11 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
TCOM
2010
156views more  TCOM 2010»
13 years 1 days ago
Joint Carrier Frequency Offset and Channel Estimation for Uplink MIMO-OFDMA Systems Using Parallel Schmidt Rao-Blackwellized Par
Joint carrier frequency offset (CFO) and channel estimation for uplink MIMO-OFDMA systems over time-varying channels is investigated. To cope with the prohibitive computational co...
Kyeong Jin Kim, Man-On Pun, Ronald A. Iltis
JCP
2008
161views more  JCP 2008»
13 years 5 months ago
Interacting Multiple Model Particle-type Filtering Approaches to Ground Target Tracking
Ground maneuvering target tracking is a class of nonlinear and/or no-Gaussian filtering problem. A new interacting multiple model unscented particle filter (IMMUPF) is presented to...
Ronghua Guo, Zheng Qin, Xiangnan Li, Junliang Chen