Robust Road Detection and Tracking in Challenging Scenarios Based on Markov Random Fields With Unsupervised Learning.
Chunzhao GuoSeiichi MitaDavid A. McAllesterPublished in: IEEE Trans. Intell. Transp. Syst. (2012)
Keyphrases
- markov random field
- unsupervised learning
- graph cuts
- energy minimization
- higher order
- random fields
- partial occlusion
- belief propagation
- parameter estimation
- potential functions
- maximum a posteriori
- image restoration
- image segmentation
- mrf model
- pairwise
- conditional random fields
- energy function
- map estimation
- supervised learning
- textured images
- loopy belief propagation
- low level vision
- maximum a posterior
- visual tracking
- kalman filter
- iterative conditional
- potts model
- partition function
- machine learning
- markov networks
- particle filtering
- dimensionality reduction
- least squares
- semi supervised
- image analysis
- training set
- computer vision