Return of experience on the mean-shift clustering for heterogeneous architecture use case.
Christophe CérinJean-Luc GaudiotMustapha LebbahFouste YuehgohPublished in: IEEE BigData (2017)
Keyphrases
- mean shift
- mode seeking
- object tracking
- clustering algorithm
- graph cuts
- feature space
- particle filter
- density function
- bilateral filtering
- sampling procedure
- visual tracking
- partial occlusion
- region merging
- visual object tracking
- color image segmentation
- normalized cut
- target tracking
- kernel density estimate
- object localisation
- kernel density
- sift features
- kalman filter
- kernel density estimation
- data clustering
- soft clustering
- image segmentation algorithm
- clustering method
- riemannian manifolds
- color histogram
- outlier detection
- object detection
- data points
- dynamic programming
- kullback leibler divergence
- k means
- high dimensional