A parallel and robust object tracking approach synthesizing adaptive Bayesian learning and improved incremental subspace learning.
Kang LiFazhi HeHaiping YuXiao ChenPublished in: Frontiers Comput. Sci. (2019)
Keyphrases
- bayesian learning
- subspace learning
- robust object tracking
- subspace learning algorithm
- dimensionality reduction
- model selection
- manifold learning
- principal component analysis
- posterior distribution
- object tracking
- sparse representation
- data representation
- particle filtering
- appearance model
- incremental principal component analysis
- low dimensional
- visual tracking
- face recognition
- high dimensional data
- sample size
- semi supervised
- incremental learning
- feature vectors
- pattern recognition
- learning algorithm
- machine learning