Real-time closed-loop tracking of an unknown number of neural sources using probability hypothesis density particle filtering.
Lifeng MiaoJun Jason ZhangChaitali ChakrabartiAntonia Papandreou-SuppappolaNarayan KovvaliPublished in: SiPS (2011)
Keyphrases
- particle filtering
- closed loop
- real time
- real time tracking
- particle filter
- visual tracking
- control system
- markerless
- appearance model
- neural network
- object tracking
- kalman filter
- video tracking
- control scheme
- open loop
- mean shift
- feedback control
- human motion
- bayesian filtering
- multiple targets
- robust object tracking
- tracking framework
- control law
- density function
- image sequences
- robot manipulators
- sequential monte carlo
- articulated body
- vision system