Adaptive Compressive Tracking via Online Vector Boosting Feature Selection.
Qingshan LiuJing YangKaihua ZhangYi WuPublished in: CoRR (2015)
Keyphrases
- feature selection
- real time
- online learning
- mutual information
- text classification
- text categorization
- particle filter
- machine learning
- state vector
- feature selection algorithms
- appearance model
- select relevant features
- ensemble learning
- information gain
- particle filtering
- high dimensionality
- model selection
- multi class
- classification accuracy
- mean shift
- neural network
- supervised learning
- visual tracking
- ensemble classification
- partial occlusion
- feature space
- feature weighting
- data sets
- tracking error
- batch mode
- robust tracking
- compressive sensing
- moving target
- feature vectors
- multi task
- classification models
- feature subset
- dimensionality reduction
- object tracking