Imperial College London
Alternate

Emeritus ProfessorMarekSergot

Faculty of Engineering, Department of Computing

Emeritus Professor in Computing
 
 
 
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Contact

 

m.sergot Website

 
 
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Location

 

Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inbook{Artikis:2013:10.4018/978-1-4666-3682-8.ch001,
author = {Artikis, A and Sergot, M and Paliouras, G},
booktitle = {Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security},
doi = {10.4018/978-1-4666-3682-8.ch001},
pages = {1--13},
title = {A logic-based approach to activity recognition},
url = {http://dx.doi.org/10.4018/978-1-4666-3682-8.ch001},
year = {2013}
}
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RIS format (EndNote, RefMan)

TY  - CHAP
AB  - The authors have been developing a system for recognising human activities given a symbolic representation of video content. The input of the system is a stream of time-stamped short-term activities detected on video frames. The output of the system is a set of recognised long-term activities, which are pre-defined spatio-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. The authors illustrate the expressiveness of the dialect by showing the representation of several typical complex activities. Furthermore, they present a detailed evaluation of the system through experimentation on a benchmark dataset of surveillance videos.
AU  - Artikis,A
AU  - Sergot,M
AU  - Paliouras,G
DO  - 10.4018/978-1-4666-3682-8.ch001
EP  - 13
PY  - 2013///
SN  - 9781466636828
SP  - 1
TI  - A logic-based approach to activity recognition
T1  - Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security
UR  - http://dx.doi.org/10.4018/978-1-4666-3682-8.ch001
ER  -
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