Transfer Learning with Bayesian Filtering for Object Tracking Under Varying Conditions.
Omar AlotaibiAntonia Papandreou-SuppappolaPublished in: ACSSC (2020)
Keyphrases
- bayesian filtering
- object tracking
- transfer learning
- kalman filter
- particle filter
- learning tasks
- particle filtering
- video sequences
- image sequences
- reinforcement learning
- moving objects
- appearance model
- labeled data
- visual tracking
- active learning
- mean shift
- semi supervised learning
- computer vision
- collaborative filtering
- video surveillance
- multi task
- machine learning algorithms
- partial occlusion
- machine learning
- appearance modeling
- text mining
- data association
- image processing
- learning algorithm
- multi camera
- semi supervised
- sparse representation
- multiple cameras
- feature selection
- robust tracking
- tracking framework
- pairwise
- high dimensional
- data points
- data sets
- supervised learning
- text classification