Аннотации:
This paper describes the recurrent and spiking neural network models used for detection of moving objects on video and creation of a motion detector. They released the moving object detection automated system based on the recurrent neural network and investigated ways of integration of programs developed using object-oriented programming languages (e.g. C#) with the visual processing framework ‘AForge.NET’ and the multimedia framework ‘DirectShow’. The most effective methods of the framework ‘AForge.NET’ are selected for visual processing.
