METHOD FOR CREATING COMBINED NEURAL NETWORK CASCADES WITH COMMON FEATURE EXTRACTION LAYERS AND WITH MULTIPLE OUTPUTS, TRAINED ON DIFFERENT DATASETS SIMULTANEOUSLY Russian patent published in 2022 - IPC G06V10/40 G06V10/82 G06V10/94 

FIELD: computing technology.

SUBSTANCE: invention relates to a method for recognising a video stream and detecting objects. Method includes the stages of broadcasting a video stream to the server from a video camera located in a video surveillance system; processing the video stream received from the video camera and preparing images for subsequent processing by a detector using the imaging module of the server; using a detector consisting of a convolutional "Backbone" neural network and "Head" neural networks associated therewith, architecturally dependent on the type of the "Backbone" network, using the computing powers of the server, extracting the features of objects common for all detected N combinations of objects by means of the "Backbone" neural network; and forming a map of features of the objects, supplied to the "Head" neural networks, wherein the number of "Head" neural networks is equal to the number N of combinations of objects; classifying objects in the images by means of the "Head" neural networks for each individual combination of detected objects and forming surrounding frames for the classified objects based on the processing of the obtained map of features of the objects; at the output of the detector, using the reporting module of the server, obtaining the generated parameters of the surrounding frames and classes of the objects in order to compile and send a report to the user display equipment.

EFFECT: increase in the speed and accuracy of detecting objects in an image.

1 cl, 6 dwg