Distributed multisensor multitarget tracking algorithm

Ying Zhang; Henry Leung; Titus K. Y. Lo; John Litva

doi:10.1117/12.213010

5 July 1995 Distributed multisensor multitarget tracking algorithm

Ying Zhang, Henry Leung, Titus K. Y. Lo, John Litva

Proceedings Volume 2484, Signal Processing, Sensor Fusion, and Target Recognition IV; (1995) https://doi.org/10.1117/12.213010
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

In this paper, an efficient distributed multi-sensor multi-target tracking algorithm is proposed. This distributed tracker consists of two main components: local sensor-level trackers and a track fuser. In the track fuser, track data from local sensors are first transformed to a common coordinate, and synchronized using a linear Kalman filter. A sequential minimum normalized distance nearest neighbor correlation and minimum mean-square error fusion algorithm, combined with the majority decision making logic is presented to correlate and fuse tracks from different sensors. Simulated data under various tracking conditions are used to evaluate the feasibility and effectiveness of this new distributed tracker.

Citation Download Citation

Ying Zhang, Henry Leung, Titus K. Y. Lo, and John Litva "Distributed multisensor multitarget tracking algorithm", Proc. SPIE 2484, Signal Processing, Sensor Fusion, and Target Recognition IV, (5 July 1995); https://doi.org/10.1117/12.213010

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