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86
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CVPR
2006
IEEE
15 years 6 months ago
Particle Video: Long-Range Motion Estimation using Point Trajectories
This paper describes a new approach to motion estimation in video. We represent video motion using a set of particles. Each particle is an image point sample with a longduration t...
Peter Sand, Seth J. Teller
103
Voted
ECCV
2000
Springer
16 years 2 months ago
A Probabilistic Background Model for Tracking
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
Jens Rittscher, Jien Kato, Sébastien Joga, ...
98
Voted
SIGGRAPH
1998
ACM
15 years 5 months ago
Large Steps in Cloth Simulation
The bottle-neck in most cloth simulation systems is that time steps must be small to avoid numerical instability. This paper describes a cloth simulation system that can stably ta...
David Baraff, Andrew P. Witkin
103
Voted
ECAL
2007
Springer
15 years 7 months ago
Turing Complete Catalytic Particle Computers
The Bare Bones language is a programming language with a minimal set of operations that exhibits universal computation. We present a conceptual framework, Chemical Bare Bones, to c...
Anthony M. L. Liekens, Chrisantha Thomas Fernando
117
Voted
ICPR
2008
IEEE
16 years 2 months ago
SVD based Kalman particle filter for robust visual tracking
Object tracking is one of the most important tasks in computer vision. The unscented particle filter algorithm has been extensively used to tackle this problem and achieved a grea...
Qingdi Wei, Weiming Hu, Xi Li, Xiaoqin Zhang, Yang...