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A Logic Programming Approach to Activity Recognition by Alexander Artikis; Marek Sergot; Georgios Paliouras is a scholarly article available to read on EtoBox.

What is A Logic Programming Approach to Activity Recognition about?

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 predefined 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.

Author

Alexander Artikis; Marek Sergot; Georgios Paliouras

Publisher

ACM

Published

2010

Language

EN