Auto-attentional mechanism in multi-domain convolutional neural networks for improving object tracking.
Jinchao HuangPublished in: Int. J. Intell. Comput. Cybern. (2022)
Keyphrases
- object tracking
- multi domain
- convolutional neural networks
- mean shift
- particle filter
- video sequences
- cross domain
- moving objects
- image sequences
- computer vision
- appearance model
- appearance modeling
- domain specific
- visual tracking
- multi camera
- robust object tracking
- multiple cameras
- multiple object tracking
- tracking objects
- sparse representation
- heterogeneous networks
- neural network
- visual object tracking
- pairwise
- low dimensional
- high dimensional
- object appearance
- three dimensional
- image segmentation
- feature selection
- consistent labeling
- learning algorithm
- data mining