Motion Segmentation of RGB-D Sequences: Combining Semantic and Motion Information Using Statistical Inference.
Sundaram MuthuRuwan B. TennakoonTharindu RathnayakeReza HoseinnezhadDavid SuterAlireza Bab-HadiasharPublished in: IEEE Trans. Image Process. (2020)
Keyphrases
- motion segmentation
- statistical inference
- model selection
- motion sequences
- statistical learning
- multibody
- motion estimation
- motion model
- image sequences
- graphical models
- bayesian inference
- missing data
- epipolar geometry estimation
- dynamic scenes
- optical flow
- spectral clustering
- moving objects
- feature selection
- machine learning
- statistical models
- motion field
- unsupervised learning
- maximum likelihood
- image registration
- image processing