Implementation of an IoT-Based E-Learning Testbed: Performance Evaluation Using Mean-Shift Clustering Approach Considering Four Types of BrainWaves.
Keita MatsuoMasafumi YamadaKevin BylykbashiMiralda CukaYi LiuLeonard BarolliPublished in: AINA Workshops (2018)
Keyphrases
- mean shift
- mode seeking
- e learning
- object tracking
- visual tracking
- particle filter
- color image segmentation
- kernel density estimation
- target tracking
- density function
- partial occlusion
- clustering method
- graph cuts
- bilateral filtering
- feature space
- normalized cut
- data clustering
- visual object tracking
- k means
- region merging
- kernel density
- sampling procedure
- kalman filter
- sift features
- object localisation
- kernel density estimate
- image segmentation algorithm
- segmented images
- uni modal
- information theoretic
- search algorithm