Using fast classification of static and dynamic environment for improving Bayesian occupancy filter (BOF) and tracking.
Qadeer BaigMathias PerrollazJander Botelho Do NascimentoChristian LaugierPublished in: ICARCV (2012)
Keyphrases
- real time
- pattern classification
- decision trees
- machine learning
- classification scheme
- feature extraction
- model selection
- preprocessing
- classification accuracy
- text classification
- supervised learning
- pattern recognition
- classification algorithm
- sequential monte carlo
- support vector machine svm
- noise reduction
- kalman filter
- scene classification
- bayesian estimation
- support vector
- learning algorithm
- particle filtering
- image classification
- appearance model
- dynamic environments
- maximum likelihood
- feature set
- edge detection
- multi class
- mobile robot
- neural network