Seamless indoor pedestrian tracking by fusing INS and UWB measurements via LS-SVM assisted UFIR filter.
Yuan XuYueyang LiChoon Ki AhnXiyuan ChenPublished in: Neurocomputing (2020)
Keyphrases
- ls svm
- pedestrian tracking
- least squares support vector machine
- least squares
- multi target tracking
- infrared imagery
- video surveillance
- cross validation
- pedestrian detection
- variable selection
- support vector machine
- prediction model
- correlation coefficient
- infrared
- improved algorithm
- rbf neural network
- infrared images
- human body
- parameter estimation
- radial basis function
- learning algorithm
- noise reduction
- input variables
- support vector
- training set
- feature selection
- svm classifier
- three dimensional
- motion estimation
- hyperparameters
- model selection