Distributed target tracking using self localizing smart camera networks

Authors:
Babak Shirmohammadi;Camillo J. Taylor
Affiliations:
University of Pennsylvania;University of Pennsylvania
Venue:
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Year:
2010

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Abstract

This paper describes a novel decentralized target tracking scheme for distributed smart cameras. This approach is built on top of a distributed localization protocol which allows the smart camera nodes to automatically identify neighboring sensors with overlapping fields of regard and establish a communication graph which reflects how the nodes will interact to fuse measurements in the network. The new protocol distributes the detection and tracking problems evenly throughout the network accounting for sensor handoffs in a seamless manner. The approach also distributes knowledge about the state of tracked objects amongst the nodes in the network. This information can then be harvested through distributed queries which allow network participants to subscribe to different kinds of events that they may be interested in. The proposed scheme has been used to track targets in real time using a collection of custom designed smart camera nodes. Results from these experiments are presented.