Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning.
Ehwa YangJeonghwan GwakMoongu JeonPublished in: Sensors (2017)
Keyphrases
- conditional random fields
- structured prediction
- parameter learning
- crf model
- structured output
- learning algorithm
- graphical models
- random fields
- information extraction
- undirected graphical models
- long range
- hidden markov models
- pairwise
- sequence labeling
- probabilistic model
- semantic segmentation
- weighted sums
- generative model
- maximum entropy
- max margin
- higher order
- markov random field
- structural svms
- fully connected
- superpixels
- image labeling
- markov networks
- restricted boltzmann machine
- multiple objects
- object tracking
- d objects
- active learning
- regression trees
- object detectors
- approximate inference
- partial occlusion
- contextual features
- computer vision