A Dynamic Conditional Random Field Model for Foreground and Shadow Segmentation.
Yang WangKia-Fock LoeJian-Kang WuPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2006)
Keyphrases
- random field model
- multiscale
- random fields
- moving shadow
- image segmentation
- foreground and background
- level set
- background subtraction
- segmentation algorithm
- computer vision
- non stationary
- machine learning
- image processing
- maximum likelihood
- medical images
- region growing
- video surveillance
- markov random field
- foreground objects
- segmentation accuracy
- moving objects
- shadow detection
- foreground background
- foreground background segmentation
- moving cast shadows