Using spatial overlap ratio of independent classifiers for likelihood map fusion in mean-shift tracking.
Ibrahim Saygin TopkayaHakan ErdoganPublished in: Signal Image Video Process. (2019)
Keyphrases
- classifier fusion
- classifier combination
- fusion strategies
- training data
- decision trees
- spatial and temporal
- support vector
- fusion scheme
- maximum likelihood
- spatial information
- maximum a posteriori
- spatio temporal
- classification models
- supervised classification
- spatial data
- fusion methods
- test set
- machine learning algorithms
- geo referenced
- training set
- multiple features
- feature selection
- mean shift
- information fusion
- training samples
- data sets
- raster images
- fusion model
- linear classifiers
- data fusion
- fusion method
- svm classifier
- vector data
- majority voting
- support vector machine
- supervised learning
- multiple classifiers
- class labels
- ensemble learning
- multi sensor
- spatial relationships
- ensemble methods