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» Algorithmic issues in modeling motion
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ICPR
2008
IEEE
14 years 2 months ago
Tracking human body by using particle filter Gaussian process Markov-switching model
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
Jing Wang, Hong Man, Yafeng Yin
DAGM
2004
Springer
13 years 11 months ago
Differential Analysis of Two Model-Based Vehicle Tracking Approaches
An experimental comparison of `Edge-Element Association (EEA)' and `Marginalized Contour (MCo)' approaches for 3D modelbased vehicle tracking in traffic scenes is complic...
Hendrik Dahlkamp, Arthur E. C. Pece, Artur Ottlik,...
IROS
2007
IEEE
123views Robotics» more  IROS 2007»
14 years 2 months ago
Learning humanoid reaching tasks in dynamic environments
— A central challenging problem in humanoid robotics is to plan and execute dynamic tasks in dynamic environments. Given that the environment is known, sampling-based online moti...
Xiaoxi Jiang, Marcelo Kallmann
ICASSP
2011
IEEE
12 years 11 months ago
Motion vector recovery with Gaussian Process Regression
In this paper, we propose a Gaussian Process Regression (GPR) framework for concealment of corrupted motion vectors in predictive video coding of packet video systems. The problem...
Hadi Asheri, Abdolkhalegh Bayati, Hamid R. Rabiee,...
ICMCS
2006
IEEE
104views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Motion Estimation by Quadtree Pruning and Merging
In this paper we propose a rate-distortion optimized motion estimation algorithm that is built upon a quadtree structure. Each node of the quadtree represents a block in the curre...
Marco Tagliasacchi, Mauro Sarchi, Stefano Tubaro