Conditional Random Fields for Object and Background Estimation in Fluorescence Video-Microscopy.
Thierry PécotAnatole ChesselSabine BardinJean SalameroPatrick BouthemyCharles KervrannPublished in: ISBI (2009)
Keyphrases
- conditional random fields
- background estimation
- surveillance videos
- real sequences
- sequence labeling
- graphical models
- markov random field
- hidden markov models
- video sequences
- probabilistic model
- video data
- fluorescence microscopy
- information extraction
- higher order
- web page prediction
- generative model
- named entity recognition
- object tracking
- crf model
- multimedia
- real time
- video analysis
- structured prediction
- pairwise
- video frames
- superpixels
- event detection
- human activities
- background subtraction
- appearance model
- segmentation method
- dynamic scenes
- moving objects
- computer vision