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- W4285537382 abstract "The article discusses methods of video stream analysis incoming from an IP-camera using the methods of image analysis, machine learning and knowledge engineering. For efficient data storage, a motion identification method was developed to determine the frame rate using a neural network (NN) classification of the block representation of the frame difference. In addition, the model of domain knowledge base was developed to analyze the events taking place in the image. The article proposes the method of event analysis based on logical conclusion where the YOLO neural network (NN) results are used as input data. The YOLO NN pops up entries in the image, such as a human being, table, TV set, etc. To confirm the module effectiveness a software system was designed comprising two modules. The first module is intended to test the effectiveness of the motion identification method and save the smallest number of frames necessary to determine the events taking place. The second module is developed to test the effectiveness of the method of analyzing occurring events resulted in the information on the state of controlled territories where video surveillance is performed. The input data for the second module are the saved frames obtained because of the operation of the first system module." @default.
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- W4285537382 date "2021-01-01" @default.
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- W4285537382 title "THE METHOD OF DATA FLOW PROCESSING INCOMING FROM AN IP-CAMERA" @default.
- W4285537382 doi "https://doi.org/10.35752/1991-2927-2021-4-66-39-45" @default.
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