Distributed mean shift clustering with approximate nearest neighbours.
Gaël BeckTarn DuongHanene AzzagMustapha LebbahPublished in: IJCNN (2016)
Keyphrases
- mean shift
- mode seeking
- nearest neighbour
- object tracking
- graph cuts
- visual tracking
- feature space
- kernel density estimation
- normalized cut
- k means
- clustering algorithm
- clustering method
- sift features
- density function
- particle filter
- k nearest neighbour
- information theoretic
- image segmentation algorithm
- sampling procedure
- data sets
- object localisation
- riemannian manifolds
- outlier detection
- knn
- region merging
- pattern recognition
- soft clustering
- support vector
- visual object tracking
- image processing