47 search results - page 4 / 10 » State Discrimination With Post-Measurement Information |
SSPR
2010
Springer
13 years 6 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
ECCV
2010
Springer
13 years 5 months ago
2010
Springer
Visual tracking is one of the central problems in computer vision. A crucial problem of tracking is how to represent the object. Traditional appearance-based trackers are using inc...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The goal of emotion classification is to estimate an emotion label, given representative data and discriminative features. Humans are very good at deriving high-level representat...
AVSS
2006
IEEE
13 years 11 months ago
2006
IEEE
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...