A One-Dimensional Kalman Filter for Real-Time Progress Prediction in Object Lifecycle Processes.
Lisa ArnoldMarius BreitmayerManfred ReichertPublished in: EDOC Workshops (2021)
Keyphrases
- kalman filter
- object tracking
- real time
- motion prediction
- kalman filtering
- particle filter
- state estimation
- prediction accuracy
- tracking framework
- motion parameters
- state space model
- moving objects
- target tracking
- mean shift
- computer vision
- particle filtering
- multiple objects
- data association
- extended kalman filter
- d objects
- position and orientation
- sparse representation
- robust tracking
- visual tracking
- computer simulation
- vision system
- control system
- three dimensional