Underwater Tracking Based on the Sum-Product Algorithm Enhanced by a Neural Network Detections Classifier.
Giovanni SoldiDomenico GaglioneGiovanni De MagistrisPaolo BracaPietro StincoGabriele FerriAlessandra TeseiKevin Le PagePublished in: ICASSP (2020)
Keyphrases
- neural network
- sum product algorithm
- fuzzy artmap
- backpropagation neural network
- learning vector quantization
- probabilistic neural network
- message passing
- learning algorithm
- visual tracking
- training data
- artificial neural networks
- false detections
- neural network model
- training process
- target tracking
- multi layer perceptron
- particle filter
- feature set
- feature selection
- mean shift
- feature space
- feature maps
- nearest neighbour
- binary decision tree
- underwater vehicles
- sensor networks
- kalman filter
- false positives
- expectation maximization
- data association
- semi supervised
- belief propagation
- reinforcement learning
- object tracking