A scalable RC architecture for mean-shift clustering.
Stefan CraciunGongyu WangAlan D. GeorgeHerman LamJosé C. PríncipePublished in: ASAP (2013)
Keyphrases
- mean shift
- mode seeking
- object tracking
- graph cuts
- visual tracking
- bilateral filtering
- feature space
- clustering method
- kernel density estimation
- particle filter
- clustering algorithm
- sift features
- density function
- color histogram
- color image segmentation
- k means
- partial occlusion
- kernel density
- normalized cut
- sampling procedure
- soft clustering
- target tracking
- region merging
- visual object tracking
- object localisation
- bhattacharyya coefficient
- document clustering
- kalman filter
- data points
- feature selection
- kullback leibler divergence
- spectral clustering
- data clustering
- information theoretic
- higher order
- optimal solution
- uni modal
- machine learning