Motion segmentation with event camera: N-patches optical flow estimation and Pairwise Markov Random Fields.
Xinghua LiuYunan ZhaoShiping WenBadong ChenShuzhi Sam GePublished in: Expert Syst. Appl. (2024)
Keyphrases
- markov random field
- motion segmentation
- optical flow estimation
- pairwise
- optical flow
- flow field
- motion model
- feature tracking
- motion field
- camera motion
- motion estimation
- image sequences
- spectral clustering
- graph cuts
- belief propagation
- higher order
- structure from motion
- random fields
- image restoration
- optic flow
- energy function
- moving objects
- conditional random fields
- dynamic scenes
- multiple moving objects
- image segmentation
- natural images
- potential functions
- multibody
- model selection
- missing data
- velocity field
- multi frame
- smoothness constraint
- motion vectors
- camera calibration
- vector field
- motion compensation
- semi supervised
- multiple images
- d scene
- coarse to fine
- similarity measure
- machine learning
- high quality
- multiscale
- state space
- super resolution
- particle filter
- motion analysis
- stereo matching