79 search results - page 2 / 16 » Tracking with Dynamic Hidden-State Shape Models |
FGR
2006
IEEE
15 years 3 months ago
2006
IEEE
Characteristics of the 2D shape deformation in human motion contain rich information for human identification and pose estimation. In this paper, we introduce a framework for sim...
NIPS
2008
14 years 11 months ago
2008
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
UAI
2004
14 years 10 months ago
2004
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
PAMI
2006
14 years 9 months ago
2006
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
PAMI
2010
14 years 7 months ago
2010
—The goal of this work is to develop statistical models for the shape change of a configuration of “landmark” points (key points of interest) over time and to use these mode...