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» A Kalman filter for robust outlier detection
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CCE
2004
13 years 5 months ago
On-line outlier detection and data cleaning
Outliers are observations that do not follow the statistical distribution of the bulk of the data, and consequently may lead to erroneous results with respect to statistical analy...
Hancong Liu, Sirish Shah, Wei Jiang
ICPR
2002
IEEE
14 years 6 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
PAMI
2006
182views more  PAMI 2006»
13 years 5 months ago
Multicue HMM-UKF for Real-Time Contour Tracking
We propose an HMM model for contour detection based on multiple visual cues in spatial domain and improve it by joint probabilistic matching to reduce background clutter. It is fu...
Yunqiang Chen, Yong Rui, Thomas S. Huang
ROBOCUP
2004
Springer
288views Robotics» more  ROBOCUP 2004»
13 years 10 months ago
Motion Detection and Tracking for an AIBO Robot Using Camera Motion Compensation and Kalman Filtering
Motion detection and tracking while moving is a desired ability for any soccer player. For instance, this ability allows the determination of the ball trajectory when the player is...
Javier Ruiz-del-Solar, Paul A. Vallejos
ICIP
2002
IEEE
14 years 7 months ago
Parametric contour tracking using unscented Kalman filter
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...
Yunqiang Chen, Thomas S. Huang, Yong Rui