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EMMCVPR
2011
Springer
12 years 10 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
SEKE
2007
Springer
14 years 4 months ago
Incremental Effort Prediction Models in Agile Development using Radial Basis Functions
One of the impediments to the wide dissemination of software estimation and measurement practices is the significant overhead imposed by these practices on the project and develop...
Raimund Moser, Witold Pedrycz, Giancarlo Succi
ICCV
2003
IEEE
15 years 4 days ago
Filtering Using a Tree-Based Estimator
Within this paper a new framework for Bayesian tracking is presented, which approximates the posterior distribution at multiple resolutions. We propose a tree-based representation...
Bjoern Stenger, Arasanathan Thayananthan, Philip H...
ICPR
2010
IEEE
14 years 3 months ago
Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization
—We present solutions to two problems that prevent the effective use of population-based algorithms in clustering problems. The first solution presents a new representation for ...
Caglar Ari, Selim Aksoy
ICRA
2005
IEEE
109views Robotics» more  ICRA 2005»
14 years 3 months ago
Towards an Estimate of Confidence in a Road-Matched Location
- This paper describes a method that provides an estimated location of an outdoor vehicle relative to a digital road map using Belief Theory and Kalman filtering. Firstly, an Exten...
Maan E. El Najjar, Philippe Bonnifait