Probabilistic Tracking of Virus Particles in Fluorescence Microscopy Image Sequences.
William J. GodinezMarko LampeStefan WörzBarbara MüllerRoland EilsKarl RohrPublished in: Bildverarbeitung für die Medizin (2008)
Keyphrases
- fluorescence microscopy
- image sequences
- object tracking
- motion analysis
- motion segmentation
- motion model
- motion detection
- automatic tracking
- image frames
- robust tracking
- moving camera
- optical flow
- traffic scenes
- video images
- motion estimation
- rigid objects
- particle filter
- motion vector fields
- real time
- camera motion
- kalman filter
- bayesian networks
- structure from motion
- spatio temporal
- background subtraction
- uncertain data
- appearance model
- video sequences
- three dimensional
- computer vision
- feature tracking
- sequential monte carlo methods
- object motion
- motion parameters
- motion field
- feature points
- video surveillance
- probabilistic model
- motion trajectories
- motion tracking
- real sequences
- mean shift
- camera motion estimation
- state space