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- W2602414920 abstract "We propose a framework for detecting medium-level events referring to intervals of frames of a video stream. The detected events can serve as input for an earlier developed framework detecting high-level surveillance events. More specifically, we first define some specific image processing algorithms to effectively identify and track people and items in frames, and then exploit a previously-defined language based on relational algebra extended by intervals to develop both offline and online algorithms for labeling sequences of frames with descriptors such as person A has package X or person B is in car C. An experimental evaluation carried out on real-world data sets shows promising results in terms of both accuracy and performance." @default.
- W2602414920 created "2017-04-07" @default.
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- W2602414920 date "2017-01-01" @default.
- W2602414920 modified "2023-09-23" @default.
- W2602414920 title "Labeling the Frames of a Video Stream with Interval Events" @default.
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- W2602414920 doi "https://doi.org/10.1109/icsc.2017.55" @default.
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