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» Accelerating neuroevolutionary methods using a Kalman filter
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ICIP
2000
IEEE
14 years 9 months ago
Motion Estimation with Incomplete Information Using Omni-Directional Vision
We present a new motion estimation framework and apply it to omni-directional imagery. Our method estimates motions incrementally using an Implicit Extended Kalman Filter (IEKF). ...
Jong Weon Lee, Ulrich Neumann
ICPR
2010
IEEE
13 years 5 months ago
Adaptive Motion Model for Human Tracking Using Particle Filter
This paper presents a novel approach to model the complex motion of human using a probabilistic autoregressive moving average model. The parameters of the model are adaptively tun...
Mohammad Hossein Ghaeminia, Amir Hossein Shabani, ...
SIGGRAPH
1995
ACM
13 years 11 months ago
A frequency-domain analysis of head-motion prediction
The use of prediction to eliminate or reduce the effects of system delays in Head-Mounted Display systems has been the subject of several recent papers. A variety of methods have ...
Ronald Azuma, Gary Bishop
ICIP
2006
IEEE
14 years 9 months ago
Computing Pose Sequences Directly from Videos
An innovative extended Kalman filter (EKF) algorithm for pose tracking has been proposed in this paper. It has the advantages of both structure and motion-based (SAM-based) and tr...
Ying Kin Yu, Kin-hong Wong, Michael Ming-Yuen Chan...
ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 6 months ago
Rao-Blackwellized particle filtering for probing-based 6-DOF localization in robotic assembly
This paper presents a probing-based method for probabilistic localization in automated robotic assembly. We consider peg-in-hole problems in which a needle-like peg has a single p...
Yuichi Taguchi, Tim K. Marks, Haruhisa Okuda