Sciweavers

183 search results - page 9 / 37
» Accelerating neuroevolutionary methods using a Kalman filter
Sort
View
NIPS
2004
13 years 9 months ago
A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities
We devise and experiment with a dynamical kernel-based system for tracking hand movements from neural activity. The state of the system corresponds to the hand location, velocity,...
Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaa...
ICIP
2001
IEEE
14 years 9 months ago
Recording the region of interest from FlyCam panoramic video
A novel method for region of interest tracking and recording video is presented. The proposed method is based on the FlyCam system [4], which produces high resolution and wide-ang...
Xinding Sun, Jonathan Foote, Don Kimber, B. S. Man...
MVA
2002
188views Computer Vision» more  MVA 2002»
13 years 7 months ago
Adaptive Background Estimation for Object Tracking
2 Adaptive Background Model Tracking people has received considerable attention by computer vision researchers. Interest is motivated by the broad range of potential applications s...
Ryunosuke Itoh, Yoshio Iwai, Masahiko Yachida
JIRS
2011
124views more  JIRS 2011»
12 years 10 months ago
EKF-Based Localization of a Wheeled Mobile Robot in Structured Environments
Abstract This paper deals with the problem of mobile-robot localization in structured environments. The extended Kalman filter (EKF) is used to localize the fourwheeled mobile robo...
Luka Teslic, Igor Skrjanc, Gregor Klancar
TOG
2010
106views more  TOG 2010»
13 years 2 months ago
Accelerating spatially varying Gaussian filters
High-dimensional Gaussian filters, most notably the bilateral filter, are important tools for many computer graphics and vision tasks. In recent years, a number of techniques for ...
Jongmin Baek, David E. Jacobs