A Probabilistic Tracking Approach to Root Measurement in Images - Particle Filter Tracking is used to Measure Roots, via a Probabilistic Graph.
Andrew P. FrenchMalcolm BennettCaroline HowellsDhaval PatelTony P. PridmorePublished in: BIOSIGNALS (1) (2008)
Keyphrases
- particle filter
- particle filtering
- object tracking
- visual tracking
- appearance model
- robust tracking
- color histogram
- multiple objects
- motion model
- kalman filter
- state estimation
- multiple object tracking
- mean shift
- sequential monte carlo
- partial occlusion
- target tracking
- robust visual tracking
- tracking accuracy
- state space
- multiple hypothesis
- articulated body
- bhattacharyya coefficient
- nonparametric belief propagation
- generative model
- face tracking
- observation model
- kalman filtering
- moving object tracking
- data association
- tracking scheme
- object appearance
- abrupt motion
- bayesian networks
- multiple cues
- tracking framework
- multi target tracking
- lighting conditions
- probabilistic model
- mobile robot
- video sequences
- motion analysis
- graph cuts
- image sequences
- rao blackwellized particle filter