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Under consideration for publication in Theory and Practice of Logic Programming 1 A Probabilistic Logic Programming Event Calculus
In: http://users.iit.demokritos.gr/~a.artikis/publications/artikis-TPLP.pdf (2012)
Abstract: We present 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 (STA) detected on video frames. The output is a set of recognised long-term activities (LTA), which are pre-defined temporal combinations of STA. The constraints on the STA that, if satisfied, lead to the recognition of a LTA, have been expressed using a dialect of the Event Calculus. In order to handle the uncertainty that naturally occurs in human activity recognition, we adapted this dialect to a state-of-the-art probabilistic logic programming framework. We present a detailed evaluation and comparison of the crisp and probabilistic approaches through experimentation on a benchmark dataset of human surveillance videos.
Keyword: Event Calculus; Event Pattern Matching; Event Recognition; ProbLog
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.418.3155
http://users.iit.demokritos.gr/~a.artikis/publications/artikis-TPLP.pdf
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