Dealing with massive data with a distributed expectation propagation particle filter for object tracking.
Allan De FreitasLyudmila MihaylovaPublished in: FUSION (2016)
Keyphrases
- object tracking
- particle filter
- bayesian inference
- visual tracking
- kalman filter
- particle filtering
- mean shift
- markov chain monte carlo
- appearance model
- state space
- image sequences
- multi camera
- data association
- motion model
- multiple object tracking
- multiple objects
- robust tracking
- tracking accuracy
- video sequences
- moving objects
- approximate inference
- data mining
- proposal distribution
- knowledge discovery
- computer vision