A local-motion-based probabilistic model for visual tracking.
Matej KristanJanez PersStanislav KovacicAles LeonardisPublished in: Pattern Recognit. (2009)
Keyphrases
- visual tracking
- probabilistic model
- abrupt motion
- robust tracking
- real time tracking
- particle filter
- particle filtering
- video sequences
- appearance model
- motion model
- dynamical models
- observation model
- appearance variations
- tracking framework
- image sequences
- motion patterns
- object tracking
- human motion
- bayesian networks
- camera motion
- mean shift
- data association
- appearance modeling
- partial occlusion
- optical flow
- hand tracking
- bayesian filtering
- model based tracking
- motion estimation
- multi target tracking
- robust visual tracking
- motion analysis
- sequential monte carlo
- multiple cues
- robust object tracking
- moving objects
- state estimation
- tracking objects
- interacting multiple model
- high degree of freedom
- object appearance
- multiple targets
- articulated structures
- learning algorithm
- structure from motion
- reinforcement learning
- pairwise
- body parts