A socio-economic approach to online vision graph generation and handover in distributed smart camera networks

Lukas ESTERLE; Peter R. LEWIS; Martin BOGDANSKI; Bernhard RINNER; Xin YAO

doi:10.1109/ICDSC.2011.6042902

A socio-economic approach to online vision graph generation and handover in distributed smart camera networks

Lukas ESTERLE, Peter R. LEWIS, Martin BOGDANSKI, Bernhard RINNER, Xin YAO

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

23 Citations (Scopus)

Abstract

In this paper we propose an approach based on self-interested autonomous cameras, which exchange responsibility for tracking objects in a market mechanism, in order to maximise their own utility. A novel ant-colony inspired mechanism is used to grow the vision graph during runtime, which may then be used to optimise communication between cameras. The key benefits of our completely decentralised approach are on the one hand generating the vision graph online which permits the addition and removal cameras to the network during runtime and on the other hand relying only on local information, increasing the robustness of the system. Since our market-based approach does not rely on a priori topology information, the need for any multi-camera calibration can be avoided. © 2011 IEEE.

Original language	English
Title of host publication	2011 5th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2011
DOIs	https://doi.org/10.1109/ICDSC.2011.6042902
Publication status	Published - Aug 2011
Externally published	Yes

Keywords

ant algorithms
market-based control
multi-camera tracking
Smart camera networks
topology identification

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10.1109/ICDSC.2011.6042902

Cite this

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title = "A socio-economic approach to online vision graph generation and handover in distributed smart camera networks",

abstract = "In this paper we propose an approach based on self-interested autonomous cameras, which exchange responsibility for tracking objects in a market mechanism, in order to maximise their own utility. A novel ant-colony inspired mechanism is used to grow the vision graph during runtime, which may then be used to optimise communication between cameras. The key benefits of our completely decentralised approach are on the one hand generating the vision graph online which permits the addition and removal cameras to the network during runtime and on the other hand relying only on local information, increasing the robustness of the system. Since our market-based approach does not rely on a priori topology information, the need for any multi-camera calibration can be avoided. {\textcopyright} 2011 IEEE.",

keywords = "ant algorithms, market-based control, multi-camera tracking, Smart camera networks, topology identification",

author = "Lukas ESTERLE and LEWIS, {Peter R.} and Martin BOGDANSKI and Bernhard RINNER and Xin YAO",

year = "2011",

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doi = "10.1109/ICDSC.2011.6042902",

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A socio-economic approach to online vision graph generation and handover in distributed smart camera networks. / ESTERLE, Lukas; LEWIS, Peter R.; BOGDANSKI, Martin et al.
2011 5th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2011. 2011. 6042902.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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AU - ESTERLE, Lukas

AU - LEWIS, Peter R.

AU - BOGDANSKI, Martin

AU - RINNER, Bernhard

AU - YAO, Xin

PY - 2011/8

Y1 - 2011/8

N2 - In this paper we propose an approach based on self-interested autonomous cameras, which exchange responsibility for tracking objects in a market mechanism, in order to maximise their own utility. A novel ant-colony inspired mechanism is used to grow the vision graph during runtime, which may then be used to optimise communication between cameras. The key benefits of our completely decentralised approach are on the one hand generating the vision graph online which permits the addition and removal cameras to the network during runtime and on the other hand relying only on local information, increasing the robustness of the system. Since our market-based approach does not rely on a priori topology information, the need for any multi-camera calibration can be avoided. © 2011 IEEE.

AB - In this paper we propose an approach based on self-interested autonomous cameras, which exchange responsibility for tracking objects in a market mechanism, in order to maximise their own utility. A novel ant-colony inspired mechanism is used to grow the vision graph during runtime, which may then be used to optimise communication between cameras. The key benefits of our completely decentralised approach are on the one hand generating the vision graph online which permits the addition and removal cameras to the network during runtime and on the other hand relying only on local information, increasing the robustness of the system. Since our market-based approach does not rely on a priori topology information, the need for any multi-camera calibration can be avoided. © 2011 IEEE.

KW - ant algorithms

KW - market-based control

KW - multi-camera tracking

KW - Smart camera networks

KW - topology identification

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BT - 2011 5th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2011

ER -

A socio-economic approach to online vision graph generation and handover in distributed smart camera networks

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Keywords

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