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» MBR Models for Uncertainty Regions of Moving Objects
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SSDBM
2006
IEEE
122views Database» more  SSDBM 2006»
15 years 5 months ago
Probabilistic Ranking Queries on Gaussians
In many modern applications, there are no exact values available to describe the data objects. Instead, the feature values are considered to be uncertain. This uncertainty is mode...
Christian Böhm, Alexey Pryakhin, Matthias Sch...
CVPR
2008
IEEE
15 years 1 months ago
An integrated background model for video surveillance based on primal sketch and 3D scene geometry
This paper presents a novel integrated background model for video surveillance. Our model uses a primal sketch representation for image appearance and 3D scene geometry to capture...
Wenze Hu, Haifeng Gong, Song Chun Zhu, Yongtian Wa...
CG
2006
Springer
14 years 11 months ago
Fast energy-based surface wrinkle modeling
This paper presents an energy-based approach that models the distinct wrinkle shapes to represent the different material properties of non-rigid objects at an interactive speed. O...
Yu Wang 0010, Charlie C. L. Wang, Matthew Ming-Fai...
TROB
2008
118views more  TROB 2008»
14 years 11 months ago
A New Kalman-Filter-Based Framework for Fast and Accurate Visual Tracking of Rigid Objects
The best of Kalman-filter-based frameworks reported in the literature for rigid object tracking work well only if the object motions are smooth (which allows for tight uncertainty ...
Youngrock Yoon, Akio Kosaka, Avinash C. Kak
SSIAI
2000
IEEE
15 years 4 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal