Long short-term memory-based recurrent neural networks for nonlinear target tracking.
Chang GaoJunkun YanShenghua ZhouBo ChenHongwei LiuPublished in: Signal Process. (2019)
Keyphrases
- human body
- short term
- recurrent neural networks
- target tracking
- nonlinear dynamic systems
- long term
- echo state networks
- neural model
- data fusion
- kalman filter
- mean shift
- neural network
- feed forward
- particle filter
- multi sensor
- arima model
- video camera
- short term and long term
- chaotic time series
- artificial neural networks
- moving target
- long term memory
- short term prediction
- load forecasting
- data association
- short and long term
- forecasting model
- feature space
- genetic algorithm