Stop@: A framework for scalable and noise-resistant stop-move segmentation of large datasets of trajectories in outdoor and indoor spaces.
Fatima HachemMaria Luisa DamianiPublished in: SoftwareX (2024)
Keyphrases
- noise resistant
- level set
- image segmentation
- interactive image segmentation
- lightweight
- main contribution
- variational framework
- computer vision
- outdoor environments
- outdoor scenes
- graph cuts
- benchmark datasets
- theoretical framework
- segmentation method
- indoor environments
- video data
- segmentation algorithm
- spatio temporal
- database