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» Estimation from lossy sensor data: jump linear modeling and ...
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ICCV
2007
IEEE
14 years 7 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic
ICRA
2003
IEEE
91views Robotics» more  ICRA 2003»
13 years 10 months ago
Internal posture sensing for a flexible frame modular mobile robot
- A sensor fusion algorithm for flexible framed modular mobile robots is presented in this paper. This algorithm uses traditional Kalman filters and rigid axle kinematic models to ...
Roy Merrell, Mark A. Minor
MICCAI
2002
Springer
14 years 6 months ago
Stochastic Finite Element Framework for Cardiac Kinematics Function and Material Property Analysis
Abstract. A stochastic finite element method (SFEM) based framework is proposed for the simultaneous estimation of cardiac kinematics functions and material model parameters. While...
Pengcheng Shi, Huafeng Liu
CVPR
2006
IEEE
14 years 7 months ago
Tracking of the Articulated Upper Body on Multi-View Stereo Image Sequences
We propose a novel method for tracking an articulated model in a 3D-point cloud. The tracking problem is formulated as the registration of two point sets, one of them parameterise...
Julius Ziegler, Kai Nickel, Rainer Stiefelhagen
SIGMETRICS
2008
ACM
116views Hardware» more  SIGMETRICS 2008»
13 years 5 months ago
Optimal sampling in state space models with applications to network monitoring
Advances in networking technology have enabled network engineers to use sampled data from routers to estimate network flow volumes and track them over time. However, low sampling ...
Harsh Singhal, George Michailidis