A Socio-Economic Approach to Online Vision Graph Generation and Handover in Distributed Smart Camera Networks

Lukas Esterle, Peter R. Lewis, Marcin Bogdanski, Bernhard Rinner and Xin Yao
In Proceedings of the Fifth ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2011) , pp 1-6. IEEE Press, 2011.

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.

@InProceedings{esterle_2011,
title = "A Socio-Economic Approach to Online Vision Graph Generation and Handover in Distributed Smart Camera Networks",
booktitle = "Proceedings of the Fifth ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2011)",
author = "Lukas Esterle and Peter R. Lewis and Marcin Bogdanski and Bernhard Rinner and Xin Yao",
location = "Ghent, Belgium",
year = "2011",
publisher = "IEEE Press",
pages = "1--6"
}