Probabilistic Object Tracking Based on Machine Learning and Importance Sampling.
Peihua LiHaijing WangPublished in: IbPRIA (1) (2005)
Keyphrases
- importance sampling
- object tracking
- particle filter
- kalman filter
- machine learning
- particle filtering
- monte carlo
- computer vision
- visual tracking
- mean shift
- appearance model
- image sequences
- motion model
- markov chain
- video sequences
- pattern recognition
- data association
- probabilistic model
- data mining
- bayesian networks
- state space
- learning algorithm
- moving objects
- tracking framework
- generative model
- feature selection
- multiple objects
- approximate inference
- markov chain monte carlo
- conditional random fields
- object recognition
- reinforcement learning
- multiscale
- multi sensor
- graphical models
- least squares
- nearest neighbor