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JCP
2008
161views more  JCP 2008»
13 years 8 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
ICIAP
2007
ACM
14 years 8 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
2003
IEEE
14 years 10 months ago
Transductive inference for color-based particle filter tracking
Robust real-time tracking of non-rigid objects in a dynamic environment is a challenging task. Among various cues in tracking, color can provide an efficient visual cue for this t...
Jiang Li, Chin-Seng Chua
CEC
2008
IEEE
14 years 3 months ago
Differential evolution particle swarm optimization for digital filter design
— In this paper, swarm and evolutionary algorithms have been applied for the design of digital filters. Particle swarm optimization (PSO) and differential evolution particle swar...
Bipul Luitel, Ganesh K. Venayagamoorthy
AAAI
2008
13 years 11 months ago
Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...
Cédric Rose, Jamal Saboune, François...