It's Moving! A Probabilistic Model for Causal Motion Segmentation in Moving Camera Videos.
Pia BideauErik G. Learned-MillerPublished in: ECCV (8) (2016)
Keyphrases
- moving camera
- motion segmentation
- probabilistic model
- dynamic scenes
- moving objects
- image sequences
- optical flow
- bayesian networks
- video sequences
- background subtraction
- motion model
- motion estimation
- video camera
- camera motion
- static camera
- motion parameters
- spatio temporal
- multiple moving objects
- multibody
- foreground objects
- model selection
- mixture model
- video sequences captured
- flow field
- d scene
- video surveillance
- missing data
- spectral clustering
- rigid objects
- motion field
- motion analysis
- object tracking
- scene structure
- expectation maximization
- structure from motion
- background model
- feature points
- dynamic textures
- computer vision
- least squares
- moving vehicles
- pairwise
- motion cues
- three dimensional
- image processing