Visual tracking of deepwater animals using machine learning-controlled robotic underwater vehicles.
Kakani KatijaPaul L. D. RobertsJoost DanielsAlexandra LapidesKevin BarnardMike RisiBen Y. RanaanBenjamin G. WoodwardJonathan TakahashiPublished in: WACV (2021)
Keyphrases
- visual tracking
- underwater vehicles
- machine learning
- appearance model
- particle filter
- fault identification
- particle filtering
- video sequences
- real time tracking
- mean shift
- model based tracking
- robust visual tracking
- pattern recognition
- multi target tracking
- computer simulation
- object tracking
- robust tracking
- sequential monte carlo
- partial occlusion
- state estimation
- appearance modeling
- mobile robot
- hand tracking
- observation model
- bayesian filtering
- learning algorithm
- mathematical models
- robotic systems
- feature selection
- computer vision
- artificial intelligence
- multi target
- tracking framework
- data association
- image segmentation
- robust object tracking
- abrupt motion