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» Robustness in Motion Averaging
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CVPR
2006
IEEE
15 years 11 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
ISCAS
2005
IEEE
164views Hardware» more  ISCAS 2005»
15 years 3 months ago
An improved rate control algorithm for H.264
—This paper proposes a new algorithm for H.264 rate control, and aims at improving coding quality of high motion scenes. Firstly, the motion estimations using all the possible mo...
Hongtao Yu, Zhiping Lin, Feng Pan
CDC
2010
IEEE
215views Control Systems» more  CDC 2010»
14 years 4 months ago
Consensus with robustness to outliers via distributed optimization
Over the past few years, a number of distributed algorithms have been developed for integrating the measurements acquired by a wireless sensor network. Among them, average consensu...
Jixin Li, Ehsan Elhamifar, I.-Jeng Wang, Ren&eacut...
DSN
2004
IEEE
15 years 1 months ago
Robust Aggregation Protocols for Large-Scale Overlay Networks
Aggregation refers to a set of functions that provide global information about a distributed system. These functions operate on numeric values distributed over the system and can ...
Alberto Montresor, Márk Jelasity, Özal...
FPL
2009
Springer
106views Hardware» more  FPL 2009»
15 years 2 months ago
Low power techniques for Motion Estimation hardware
Motion Estimation (ME) is the most computationally intensive and the most power consuming part of video compression and video enhancement systems. In this paper, we propose a nove...
Caglar Kalaycioglu, Onur C. Ulusel, Ilker Hamzaogl...