Object Tracking Using Local Multiple Features and a Posterior Probability Measure.
Wenhua GuoZuren FengXiaodong RenPublished in: Sensors (2017)
Keyphrases
- object tracking
- multiple features
- probability measure
- probability distribution
- probabilistic model
- particle filter
- video sequences
- image sequences
- mean shift
- data fusion
- feature space
- moving objects
- computer vision
- feature set
- visual information
- image retrieval
- sparse representation
- feature vectors
- multiple instance learning
- incremental learning
- metric learning
- class labels
- image classification
- pattern recognition
- machine learning
- state space
- three dimensional
- gaussian process
- distance metric
- feature extraction
- expectation maximization
- relevance feedback