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» A Kalman filter for robust outlier detection
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EICS
2009
ACM
14 years 2 months ago
Input evaluation of an eye-gaze-guided interface: Kalman filter vs. velocity threshold eye movement identification
This paper evaluates the input performance capabilities of Velocity Threshold (I-VT) and Kalman Filter (I-KF) eye movement detection models when employed for eye-gaze-guided inter...
Do Hyong Koh, Sandeep A. Munikrishne Gowda, Oleg V...
ICIP
2007
IEEE
14 years 9 months ago
EKF Based Pose Estimation using Two Back-to-Back Stereo Pairs
In this work, we solve the pose estimation problem for robot motion by placing multiple cameras on the robot. In particular, we use four cameras arranged as two back-to-back stere...
Mohammad Ehab Ragab, King Hong Wong, Jun Zhou Chen...
CSDA
2007
102views more  CSDA 2007»
13 years 7 months ago
On the robust detection of edges in time series filtering
Abstract: Abrupt shifts in the level of a time series represent important information and should be preserved in statistical signal extraction. We investigate rules for detecting l...
Roland Fried
AROBOTS
2010
194views more  AROBOTS 2010»
13 years 6 months ago
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters
Abstract Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided wit...
Nicola Bellotto, Huosheng Hu
BMVC
1998
13 years 9 months ago
Detection and Tracking of Very Small Low Contrast Objects
We present a Kalman tracking algorithm that can track a number of very small, low contrast objects through an image sequence taken from a static camera. The issues that we have ad...
D. Davies, Phil L. Palmer, Majid Mirmehdi