I. Hwang, H. Balakrishnan, K. Roy, J. Shin, L. Guibas, and C. Tomlin, Multiple Target Tracking and Identity Management. In the Proceedings of 2nd IEEE Sensors Conf., Toronto, Canada, October 2003, 36-41.
This paper involves the development of an algorithm which can
simultaneously track and manage identities of multiple targets in a
sensor network, for the purpose of air traffic control. We propose a
logical integration of Joint Probabilistic Data Association (JPDA),
used for associating measurements with targets, and the Identity
Management algorithm for sensor networks, which utilizes target
attribute information from local sensors to maintain the target's
identity correctly. For target tracking, we use a modified version of
the Interacting Multiple Model (IMM) algorithm called the
Residual-Mean IMM (RMIMM) which we developed. The proposed algorithm
incorporates target state estimate information from the tracking
algorithm into the evolution of a doubly-stochastic belief matrix for
the target identities, and also assimilates any local information
available. The algorithm has been shown not only to converge, but also
to not increase the uncertainty in our belief.
author = "I. Hwang and H. Balakrishnan and K. Roy and J. Shin and L. Guibas and C. Tomlin",
title = "Multiple Target Tracking and Identity Management",
booktitle = Proceedings of 2nd IEEE Sensors"",
pages = "36--41",
year = "2003"