PFAAM An Active Appearance Model based Particle Filter for both Robust and Precise Tracking.
Sven FleckMcElory HoffmannKarin HunterAndreas SchillingPublished in: CRV (2007)
Keyphrases
- particle filter
- appearance model
- robust tracking
- visual tracking
- object tracking
- observation model
- tracking framework
- object tracking algorithm
- particle filtering
- multiple hypothesis
- rao blackwellized particle filter
- robust visual tracking
- mean shift
- kalman filter
- partial occlusion
- target tracking
- sequential monte carlo
- state space
- motion model
- articulated body
- tracking accuracy
- face tracking
- object appearance
- state estimation
- multiple object tracking
- multiple hypotheses
- multiple objects
- data association
- abrupt motion
- long video sequences
- multiple cues
- appearance variations
- importance sampling
- active appearance models
- multi target tracking
- tracking scheme
- illumination variations
- proposal distribution
- head tracking
- extended kalman filter
- hand tracking
- motion tracking
- optical flow
- computer vision
- optimal solution