An implicit motion likelihood for tracking with particle filters.
Jean-Marc OdobezSileye O. BaDaniel Gatica-PerezPublished in: BMVC (2003)
Keyphrases
- particle filter
- motion model
- proposal distribution
- abrupt motion
- robust tracking
- likelihood function
- particle filtering
- articulated body
- visual tracking
- object tracking
- tracking framework
- state space
- kalman filter
- observation model
- state estimation
- motion analysis
- mean shift
- monte carlo
- motion field
- human motion tracking
- appearance model
- particle filtering algorithm
- sequential monte carlo
- motion segmentation
- face tracking
- multiple object tracking
- bayesian filtering
- hand tracking
- feature tracking
- motion patterns
- data association
- optical flow
- motion tracking
- multi target tracking
- motion estimation
- contour tracking
- image sequences
- video sequences
- multiple target tracking
- tracking scheme
- human motion
- density function
- simultaneous localization and mapping
- structure from motion
- camera motion
- markov chain
- maximum likelihood
- motion detection
- low frame rate
- computer vision
- multiple targets