loading
Documents

Research.Publish.Connect.

Paper

Authors: Anthony Stein 1 ; Stefan Rudolph 1 ; Sven Tomforde 2 and Jörg Hähner 1

Affiliations: 1 Organic Computing Group and University of Augsburg, Germany ; 2 Intelligent Embedded Systems and University of Kassel, Germany

ISBN: 978-989-758-274-5

Keyword(s): Organic Computing, Self-x, Self-learning, Self-adaptive, Reinforcement Learning, Smart Camera, Smart Camera Network, Surveillance Camera, Learning Classifier System, Extended Classifier System, Q-learning.

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.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.229.24.100

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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

@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},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.