On the tracking performance of combinations of least mean squares and recursive least squares adaptive filters.
Vítor H. NascimentoMagno T. M. SilvaLuis Antonio Azpicueta-RuizJerónimo Arenas-GarcíaPublished in: ICASSP (2010)
Keyphrases
- recursive least squares
- least mean square
- kalman filtering
- adaptive filtering
- kalman filter
- neuro fuzzy
- complex valued
- particle filtering
- wavelet neural network
- particle filter
- step size
- appearance model
- autoregressive
- mean shift
- visual tracking
- denoising
- random fields
- object tracking
- filtering method
- gray scale
- particle swarm optimization