Tracking the trajectory of an object in a noisy environment with unknown statistics: A novel robust Kalman filter residue-based approach.
Lahouari ChededRajamani DoraiswamiPublished in: Trans. Inst. Meas. Control (2023)
Keyphrases
- kalman filter
- noisy environments
- object tracking
- tracking framework
- robust tracking
- kalman filtering
- partial occlusion
- particle filter
- noise reduction
- target tracking
- speech recognition
- mean shift
- state estimation
- particle filtering
- moving objects
- visual tracking
- motion parameters
- extended kalman filter
- video sequences
- appearance model
- image sequences
- data association
- state space model
- bayesian filtering
- update equations
- speech signal
- image classification
- computer vision
- multiple objects
- unscented kalman filter
- image representation
- higher order
- data points
- high dimensional
- image processing
- neural network