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» On the robust detection of edges in time series filtering
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ICPR
2002
IEEE
14 years 8 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
ICIP
2006
IEEE
14 years 9 months ago
Model-Free, Statistical Detection and Tracking of Moving Objects
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
Mark Ross
DAGM
2007
Springer
14 years 1 months ago
Holomorphic Filters for Object Detection
It is well known that linear filters are not powerful enough for many low-level image processing tasks. But it is also very difficult to design robust non-linear filters that res...
Marco Reisert, Olaf Ronneberger, Hans Burkhardt

Lecture Notes
488views
15 years 6 months ago
Econometrics
These notes cover several topics such as Univariate Time Series Analysis, The Distribution of a Sample Average, Least Squares, Instrumental Variable Method, Simulating the Finite S...
Paul Söderlind
24
Voted
CSDA
2006
108views more  CSDA 2006»
13 years 7 months ago
Repeated median and hybrid filters
Standard median filters preserve abrupt shifts (edges) and remove impulsive noise (outliers) from a constant signal but they deteriorate in trend periods. Finite impulse response ...
Roland Fried, Thorsten Bernholt, Ursula Gather