Bias considerations for minimum subspace noise tracking.
Mahdi TrikiKees JansePublished in: INTERSPEECH (2010)
Keyphrases
- real time
- kalman filter
- random noise
- particle filter
- signal subspace
- low dimensional
- lower dimensional
- noisy data
- subspace learning
- median filter
- motion detection
- motion tracking
- visual tracking
- robust tracking
- object tracking
- measurement error
- image processing
- high dimensional data
- particle filtering
- noise level
- feature space
- noise reduction
- data sets
- high dimensional
- image sequences
- motion model
- mean shift
- feature extraction
- state space