CamSim: A Distributed Smart Camera Network Simulator

Lukas Esterle, Peter R. Lewis, Horatio Caine, Xin Yao and Bernhard Rinner
In the Seventh IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW), 19-20. IEEE Computer Society Press, 2013.

Smart cameras allow pre-processing of video data on the camera instead of sending it to a remote server for further analysis. Having a network of smart cameras allows various vision tasks to be processed in a distributed fashion. While cameras may have different tasks, we concentrate on distributed tracking in smart camera networks. This application introduces various highly interesting problems. Firstly, how can conflicting goals be satisfied such as cameras in the network try to track objects while also trying to keep communication overhead low? Secondly, how can cameras in the network self-adapt in response to the behaviour of objects and changes in scenarios, to ensure continued efficient performance? Thirdly, how can cameras organise themselves to improve the overall network’s performance and efficiency? This paper presents a simulation environment, called CamSim, allowing distributed self-adaptation and self-organisation algorithms to be tested, without setting up a physical smart camera network. The simulation tool is written in Java and hence allows high portability between different operating systems. Relaxing various problems of computer vision and network communication supports to focus on implementing and testing new self-adaptation and self-organisation algorithms for cameras to use.

author = {Lukas Esterle and Peter R. Lewis and Horatio Caine and Xin Yao and Bernhard Rinner},
title = {{CamSim: A Distributed Smart Camera Network Simulator}},
booktitle = {Seventh IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2013) Workshops Proceedings},
year = {2013},
publisher = {IEEE Computer Society Press},
pages = {19--20}