Robust Person Tracking with Non-Stationary Background Using a Combined Pseudo-2D-Hmm and Kalman-Filter Approach.
Gerhard RigollStefan MüllerBernd WintersteinPublished in: ICIP (4) (1999)
Keyphrases
- non stationary
- kalman filter
- kalman filtering
- robust tracking
- hidden markov models
- random sample consensus
- autoregressive
- speech signal
- state estimation
- target tracking
- state space model
- random fields
- mean shift
- detection of moving objects
- particle filtering
- object tracking
- particle filter
- empirical mode decomposition
- adaptive algorithms
- extended kalman filter
- multiscale
- simultaneous localization and mapping
- signal processing