Using the deep neural networks for normal and abnormal situation recognition in the automatic access monitoring and control system of vehicles.
Oleg Semenovich AmosovSvetlana Gennadievna AmosovaYuriy Sergeevich IvanovSergey Victorovich ZhiganovPublished in: Neural Comput. Appl. (2021)
Keyphrases
- control system
- neural network
- abnormal events
- fuzzy logic
- real time
- pattern recognition
- recognition rate
- recognition accuracy
- remote monitoring
- abnormal behavior
- object recognition
- feature extraction
- monitoring system
- semi automatic
- automatic recognition
- fully automatic
- genetic algorithm
- intelligent control
- action recognition
- back propagation
- activity recognition
- neural network model
- closed loop
- situational awareness
- character recognition
- control algorithm
- control method
- artificial neural networks
- abnormal situations
- control strategy
- access control
- pid controller
- fuzzy control
- control scheme
- multilayer perceptron
- urban traffic
- anomaly detection
- unsupervised learning
- road vehicles