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- W2836416427 abstract "Tracking of moving objects is a part of many applied tasks in computer vision. The first step in dealing with such tasks is to identify the objects in the original video clip, in other words, to locate the regions of interest (ROI), that will be further employed to ensure the tracking. This paper describes an algorithm and a cross-platform software that allows to analyse algorithms written in various programming languages based on the YouTube-BB dataset. The paper provides examples of our systems work based on the algorithms available in the OpenCV library and describes an interaction protocol allowing to test alternative algorithms." @default.
- W2836416427 created "2018-07-19" @default.
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- W2836416427 date "2018-01-01" @default.
- W2836416427 modified "2023-09-26" @default.
- W2836416427 title "Examining approaches for regions of interest detection in video clips as a service" @default.
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- W2836416427 doi "https://doi.org/10.1063/1.5043724" @default.
- W2836416427 hasPublicationYear "2018" @default.
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