Robust object tracking by online Fisher discrimination boosting feature selection.
Jing YangKaihua ZhangQingshan LiuPublished in: Comput. Vis. Image Underst. (2016)
Keyphrases
- feature selection
- robust object tracking
- text classification
- text categorization
- object tracking
- machine learning
- select relevant features
- classification accuracy
- class separability
- multi class
- feature selection algorithms
- online learning
- visual tracking
- model selection
- mutual information
- support vector machine
- real time
- feature subset
- feature space
- appearance model
- feature extraction
- ensemble learning
- decision trees
- classification models
- particle filtering
- dimensionality reduction
- irrelevant features
- linear discriminant
- learning algorithm
- neyman pearson
- support vector