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CVPR
2010
IEEE
16 years 1 months ago
Modeling and Estimating Persistent Motion with Geometric Flows
We propose a principled framework to model persistent motion in dynamic scenes. In contrast to previous efforts on object tracking and optical flow estimation that focus on local...
Dahua Lin, Eric Grimson, John Fisher
193
Voted
FGR
2000
IEEE
128views Biometrics» more  FGR 2000»
15 years 11 months ago
Understanding Purposeful Human Motion
Human motion can be understood on many levels. The most basic level is the notion that humans are collections of things that have predictable visual appearance. Next is the notion...
Christopher Richard Wren, Brian P. Clarkson, Alex ...
CVPR
2010
IEEE
14 years 3 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
128
Voted
ICASSP
2008
IEEE
16 years 1 months ago
Fourier and filterbank analyses of signal-dependent noise
Owing to the lack of resolution of the measurement and the randomness inherent in the signal and the measuring devices, the measurement noise is often signal-dependent. Although t...
Keigo Hirakawa
ICASSP
2011
IEEE
14 years 10 months ago
Interpolation based on stationary and adaptive AR(1) modeling
In this paper, we describe a minimal mean square error (MMSE) optimal interpolation filter for discrete random signals. We explicitly derive the interpolation filter for a firs...
Eija Johansson, Marie Strom, Mats Viberg, Lennart ...