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» Change detection using joint intensity histogram
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CVPR
2006
IEEE
15 years 11 months ago
Robust Fragments-based Tracking using the Integral Histogram
We present a novel algorithm (which we call "FragTrack") for tracking an object in a video sequence. The template object is represented by multiple image fragments or pa...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
CVPR
2006
IEEE
15 years 3 months ago
New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration
We present a new, robust and computationally efficient method for estimating the probability density of the intensity values in an image. Our approach makes use of a continuous r...
Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
ICDE
2006
IEEE
134views Database» more  ICDE 2006»
15 years 11 months ago
ISOMER: Consistent Histogram Construction Using Query Feedback
Database columns are often correlated, so that cardinality estimates computed by assuming independence often lead to a poor choice of query plan by the optimizer. Multidimensional...
Utkarsh Srivastava, Peter J. Haas, Volker Markl, M...
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ICPR
2000
IEEE
15 years 2 months ago
Skin Detection in Video under Changing Illumination Conditions
Techniques for color-based tracking of faces or hands often assume a static skin color model. However, skin color perceived by a camera can change when lighting changes. In common...
Maricor Soriano, Birgitta Martinkauppi, Sami Huovi...
CVPR
1999
IEEE
15 years 11 months ago
Probabilistic Recognition of Activity using Local Appearance
This paper addresses the problem of probabilistic recognition of activities from local spatio-temporal appearance. Joint statistics of space-time filters are employed to define hi...
Olivier Chomat, James L. Crowley