Imbalanced Learning for Robust Moving Object Classification in Video Surveillance Applications.
Rania Rebai BoukhrissIkram ChaabaneRadhouane GuermaziEmna FendriMohamed HammamiPublished in: ISDA (2021)
Keyphrases
- supervised learning
- video surveillance
- unsupervised learning
- video sequences
- incremental learning
- learning process
- learning algorithm
- classification accuracy
- feature selection
- feature vectors
- image classification
- machine learning
- moving objects
- active learning
- training set
- reinforcement learning
- text classification
- decision trees
- training samples
- background subtraction
- human activities
- multi task
- class imbalance
- moving object detection