A Self-adaptive Likelihood Function for Tracking with Particle Filter.
Séverine DubuissonMyriam Robert-SeidowskyJonathan FabrizioPublished in: VISAPP (3) (2015)
Keyphrases
- particle filter
- likelihood function
- object tracking
- visual tracking
- particle filtering
- state space
- motion model
- kalman filter
- target tracking
- mean shift
- appearance model
- state estimation
- robust tracking
- multiple hypothesis
- tracking accuracy
- face tracking
- sequential monte carlo
- abrupt motion
- data association
- articulated body
- observation model
- proposal distribution
- tracking framework
- machine learning
- bayesian inference
- high dimensional
- search algorithm
- learning algorithm