Mean-shift : Clustering scalable et distribué.
Gaël BeckHanane AzzagMustapha LebbahTarn DuongPublished in: EGC (2018)
Keyphrases
- mean shift
- mode seeking
- object tracking
- visual tracking
- graph cuts
- feature space
- density function
- kernel density estimation
- clustering algorithm
- color image segmentation
- particle filter
- kernel density
- clustering method
- kalman filter
- k means
- sift features
- target tracking
- normalized cut
- bilateral filtering
- data clustering
- visual object tracking
- image segmentation algorithm
- region merging
- partial occlusion
- color histogram
- kullback leibler divergence
- machine learning
- document clustering
- information theoretic
- sampling procedure
- mutual information
- object detection
- feature extraction
- object localisation
- kernel density estimate