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- W2115226893 abstract "We have been developing a system for recognising human activity given a symbolic representation of video content. The input of our system is a set of time-stamped short-term activities detected on video frames. The output of our system is a set of recognised long-term activities, which are pre-defined temporal combinations of short-term activities. The constraints on the short-term activities that, if satisfied, lead to the recognition of a long-term activity, are expressed using a dialect of the Event Calculus. We illustrate the expressiveness of the dialect by showing the representation of several typical complex activities. Furthermore, we present a detailed evaluation of the system through experimentation on a benchmark dataset of surveillance videos." @default.
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- W2115226893 date "2010-10-25" @default.
- W2115226893 modified "2023-10-17" @default.
- W2115226893 title "A logic programming approach to activity recognition" @default.
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- W2115226893 doi "https://doi.org/10.1145/1877937.1877941" @default.
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