Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics.
Yaron MeirovitchLu MiHayk SaribekyanAlexander MatveevDavid RolnickCasimir WierzynskiNir ShavitPublished in: CoRR (2018)
Keyphrases
- multi object tracking
- image segmentation
- support vector machine
- segmentation algorithm
- machine learning
- feature extraction
- level set
- segmentation method
- multi camera
- computer vision systems
- feature space
- medical images
- motion estimation
- text classification
- active contours
- feature vectors
- shape prior
- object segmentation
- video analysis
- data association
- appearance features