Novel Robust Indoor Device-Free Moving-Object Localization and Tracking Using Machine Learning With Kalman Filter and Smoother.
Guannan LiuPrasanga NeupaneHsiao-Chun WuWeidong XiangLimeng PuShih Yu ChangPublished in: IEEE Syst. J. (2022)
Keyphrases
- kalman filter
- robust tracking
- object tracking
- machine learning
- kalman filtering
- tracking framework
- particle filter
- moving objects
- simultaneous localization and mapping
- rao blackwellized particle filter
- partial occlusion
- target tracking
- state estimation
- particle filtering
- video sequences
- motion parameters
- mean shift
- pattern recognition
- computer vision
- accurate localization
- video surveillance
- image sequences
- extended kalman filter
- localization method
- appearance model
- bayesian filtering
- data association
- unscented kalman filter
- feature extraction
- feature selection
- indoor environments
- state space model
- image features
- higher order
- markov random field
- moving object detection
- motion field