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IJCV
2010
261views more  IJCV 2010»
15 years 5 months ago
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing meth...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 5 months ago
Visual odometry priors for robust EKF-SLAM
— One of the main drawbacks of standard visual EKF-SLAM techniques is the assumption of a general camera motion model. Usually this motion model has been implemented in the liter...
Pablo Fernández Alcantarilla, Luis Miguel B...
IEAAIE
1998
Springer
15 years 10 months ago
State Estimation for Nonlinear Systems Using Restricted Genetic Optimization
Abstract. In this paper we describe a new nonlinear estimator for filtering systems with nonlinear process and observation models, based on the optimization with RGO (Restricted Ge...
Santiago Garrido, Luis Moreno, Carlos Balaguer
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
16 years 6 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White

Book
5396views
17 years 5 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li