Self-learning Smart Cameras - Harnessing the Generalization Capability of XCS

Anthony Stein, Stefan Rudolph, Sven Tomforde, Jörg Hähner

Abstract

In this paper, we show how an evolutionary rule-based machine learning technique can be applied to tackle the task of self-configuration of smart camera networks. More precisely, the Extended Classifier System (XCS) is utilized to learn a configuration strategy for the pan, tilt, and zoom of smart cameras. Thereby, we extend our previous approach, which is based on Q-Learning, by harnessing the generalization capability of Learning Classifier Systems (LCS), i.e. avoiding to separately approximate the quality of each possible (re-)configuration (action) in reaction to a certain situation (state). Instead, situations in which the same reconfiguration is adequate are grouped to one single rule. We demonstrate that our XCS-based approach outperforms the Q-learning method on the basis of empirical evaluations on scenarios of different severity.

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Paper Citation


in Harvard Style

Stein A., Rudolph S., Tomforde S. and Hähner J. (2017). Self-learning Smart Cameras - Harnessing the Generalization Capability of XCS.In Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-274-5, pages 129-140. DOI: 10.5220/0006512101290140


in Bibtex Style

@conference{ijcci17,
author={Anthony Stein and Stefan Rudolph and Sven Tomforde and Jörg Hähner},
title={Self-learning Smart Cameras - Harnessing the Generalization Capability of XCS},
booktitle={Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2017},
pages={129-140},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006512101290140},
isbn={978-989-758-274-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - Self-learning Smart Cameras - Harnessing the Generalization Capability of XCS
SN - 978-989-758-274-5
AU - Stein A.
AU - Rudolph S.
AU - Tomforde S.
AU - Hähner J.
PY - 2017
SP - 129
EP - 140
DO - 10.5220/0006512101290140