Using Optical Flow as Evidence for Probabilistic Tracking.
Manuel J. LucenaJosé M. FuertesNicolas Pérez de la BlancaAntonio Garrido CarrilloPublished in: SCIA (2003)
Keyphrases
- optical flow
- dense optical flow
- motion model
- feature tracking
- motion segmentation
- lucas kanade
- image sequences
- point tracking
- moving camera
- probabilistic model
- optical flow computation
- appearance model
- motion field
- motion analysis
- real time
- smoothness constraint
- particle filtering
- kalman filter
- ego motion
- particle filter
- consecutive frames
- optical flow estimation
- least squares
- velocity field
- kalman filtering
- visual tracking
- motion estimation
- object tracking
- feature points
- motion parameters
- structure from motion
- robust tracking
- camera motion
- qualitative and quantitative evaluation
- bayesian networks
- video surveillance