Adaptive non-planar road detection and tracking in challenging environments using segmentation-based Markov Random Field.
Chunzhao GuoSeiichi MitaDavid A. McAllesterPublished in: ICRA (2011)
Keyphrases
- markov random field
- mrf model
- image segmentation
- energy function
- mrf models
- textured images
- iterated conditional modes
- graph cuts
- prior model
- label field
- segmentation algorithm
- markov random field model
- motion segmentation
- belief propagation
- low level vision
- spatial continuity
- higher order
- parameter estimation
- energy minimization
- bayesian estimation
- maximum a posteriori
- level set
- random fields
- potential functions
- shape prior
- image restoration
- particle filter
- conditional random fields
- segmentation method
- mean shift
- labeling problems
- medical images
- pairwise
- map estimation
- nonparametric belief propagation
- object segmentation
- discriminative random fields
- multiscale
- motion tracking
- multiple objects
- loopy belief propagation
- image intensity
- maximum a posterior
- long range
- particle filtering
- superpixels
- articulated body
- mrf optimization
- bayesian framework
- prior information
- gibbs energy
- motion model
- segmentation of mr brain images