Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application.
James H. FaghmousMuhammed UluyolLuke StylesMatthew LeVarun MithalShyam BoriahVipin KumarPublished in: AAAI (2013)
Keyphrases
- object tracking
- particle filter
- multiple hypothesis
- appearance model
- visual tracking
- mean shift
- particle filtering
- kalman filter
- image sequences
- video sequences
- appearance modeling
- multiple object tracking
- tracking accuracy
- robust tracking
- target tracking
- video surveillance
- moving objects
- vehicle tracking
- multi camera
- state space
- automatic tracking
- robust object tracking
- data association
- visual object tracking
- occlusion handling
- tracking framework
- computer vision
- camera views
- sparse representation
- tracking objects
- object tracking algorithm
- object location
- multiple objects
- partial occlusion
- tracked objects
- consistent labeling
- data sets
- multiple cameras
- crowded scenes
- optical flow
- high dimensional
- multiscale
- image segmentation