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» A Smoothing Filter for CONDENSATION
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ICCV
1999
IEEE
14 years 8 months ago
Classification of Human Body Motion
The classification of human body motion is a difficult problem. In particular, the automatic segmentation of sequences containing more than one class of motion is challenging. An ...
Jens Rittscher, Andrew Blake
JMIV
2006
112views more  JMIV 2006»
13 years 6 months ago
Improving Deriche-style Recursive Gaussian Filters
Gaussian smoothing filters and Gaussian derivative filters can be estimated by recursive IIR filters, as shown by Deriche [3, 4]. The design of those filters does, however, not enf...
Gunnar Farnebäck, Carl-Fredrik Westin
TITS
2008
189views more  TITS 2008»
13 years 6 months ago
Robust Road Modeling and Tracking Using Condensation
In this paper, we present a robust road detection and tracking method based on a condensation particle filter for real-time video-based navigation applications. The image is divide...
Yan Wang, Li Bai, Michael C. Fairhurst
VVS
1998
IEEE
91views Visualization» more  VVS 1998»
13 years 10 months ago
Design of Accurate and Smooth Filters for Function and Derivative Reconstruction
The correct choice of function and derivative reconstruction filters is paramount to obtaining highly accurate renderings. Most filter choices are limited to a set of commonly use...
Torsten Möller, Klaus Mueller, Yair Kurzion, ...
BNCOD
2008
96views Database» more  BNCOD 2008»
13 years 7 months ago
Smooth Interpolating Histograms with Error Guarantees
Abstract. Accurate selectivity estimations are essential for query optimization decisions where they are typically derived from various kinds of histograms which condense value dis...
Thomas Neumann, Sebastian Michel