Year of Graduation
Development and Analysis of Neural Network Model for Decision Making in Mobile Video Surveillance Systems
In this work neural network models for decision making have been considered. Specific features of neural networks and different methods of video recognition have been analized. The model of face recognition in mobile video surveillance systems has been developed based on theoretical materials. There was a comparison by efficiency between developed model and other algorithms and neural networks, and based on results the necessary of using neural networks in tasks of computer vision has been identified and justified.