Using optical flow for filling the gaps in visual-inertial tracking.
Gabriele BleserGustaf HendebyPublished in: EUSIPCO (2010)
Keyphrases
- optical flow
- feature tracking
- inertial sensors
- motion model
- dense optical flow
- motion segmentation
- lucas kanade
- kalman filter
- point tracking
- visual information
- visual motion
- optical flow estimation
- moving camera
- sensor fusion
- image sequences
- dynamic model
- particle filter
- object tracking
- motion field
- motion tracking
- visual tracking
- particle filtering
- d scene
- real time
- moving objects
- motion estimation
- optical flow computation
- visual features
- smoothness constraint
- flow field
- motion analysis
- appearance model
- ego motion
- moving target
- visual cues
- mean shift
- articulated objects
- bit rate
- camera motion
- structure from motion
- video sequences
- smooth pursuit
- vector field