Probabilistic Tracking with Adaptive Feature Selection.
Hwann-Tzong ChenTyng-Luh LiuChiou-Shann FuhPublished in: ICPR (2) (2004)
Keyphrases
- feature selection
- object tracking
- particle filter
- probabilistic model
- real time
- text categorization
- information theoretic
- feature extraction
- data driven
- neural network
- particle filtering
- high dimensionality
- mutual information
- multi class
- feature space
- support vector
- bayesian networks
- multi task
- machine learning
- partial occlusion
- selected features
- genetic algorithm
- text classification
- irrelevant features
- feature ranking
- discriminative features
- tracking accuracy
- linear predictors
- redundant features
- tracking error
- video surveillance
- kalman filter
- face recognition
- mean shift
- high dimensional
- classification accuracy
- feature set
- dimensionality reduction