Socio-Economic Vision Graph Generation and Handover in Distributed Smart Camera Networks

Lukas Esterle, Peter R. Lewis, Xin Yao and Bernhard Rinner
ACM Transactions on Sensor Networks (TOSN), 10(2), 20, 2014.

In this paper we present an approach to object tracking handover in a network of smart cameras, based on self-interested autonomous agents, 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 learn the vision graph, i.e., the camera neighborhood relations, 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. We have evaluated our approach both in a simulation study and in network of real distributed smart cameras.

@ARTICLE{Esterle_TOSN2014,
author = {Lukas Esterle and Peter R. Lewis and Xin Yao and Bernhard Rinner},
title = {Socio-Economic Vision Graph Generation and Handover in Distributed Smart Camera Networks},
journal = {ACM Transactions on Sensor Networks},
year = {2014},
volume = {10},
articleno = {20},
number = {2}
}