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Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras - ICDSC '10 - Distributed tracking in a large-scale network of smart cameras by Kim, Honggab; Wolf, Marilyn is a scholarly article available to read on EtoBox.

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This paper describes a new distributed algorithm for tracking in distributed camera networks. This algorithm operates without a centralized server that collects all the measurements over the entire network. With the observations sent from its neighbors and the local probabilistic transition model, each camera independently estimates local paths in its neighborhood. The conflicts on locally estimated paths among cameras are resolved by a voting algorithm, and the agreed local paths are finally combined into global paths. Our experiments with simulated data demonstrate that the proposed distributed tracking algorithm is fast and scalable without degrading tracking accuracy.

Author

Kim, Honggab; Wolf, Marilyn

Publisher

ACM Press

Published

2010

Language

EN