Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach.
Yikun ZhangYen-Chi ChenPublished in: CoRR (2021)
Keyphrases
- mean shift
- kernel density estimation
- riemannian manifolds
- kernel density
- object tracking
- graph cuts
- feature space
- euclidean space
- mode seeking
- lie group
- bilateral filtering
- density function
- particle filter
- partial occlusion
- visual tracking
- color image segmentation
- sampling procedure
- image segmentation algorithm
- object localisation
- target tracking
- sift features
- visual object tracking
- region merging
- euclidean distance
- similarity measure
- image sequences
- maximum likelihood estimation
- density estimation
- kalman filter
- reinforcement learning
- computer vision
- uni modal
- machine learning