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.

Abstract:

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.

Bibtex: 

@inproceedings{rasmussen98,
    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"
}