Paper
29 October 1997 Hot starts for track maintenance in multisensor multitarget tracking
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Abstract
Large classes of data association problems in multiple hypothesis tracking applications involving multiple and single sensor systems can be formulated as multidimensional assignment problems, which are then fundamental in both track initiation and maintenance. In particular, track maintenance uses an N-frame moving window over the scans of data from multiple sensors giving rise to the repeated solution of (N plus 1)-dimensional assignment problems. Due to the complexity of these NP-hard problems and the fact that one must solve these problems to the noise level in the problem, it is most advantageous to take advantage of a previously solved problem over a previous window. This work explores this issue in track maintenance.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aubrey B. Poore "Hot starts for track maintenance in multisensor multitarget tracking", Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); https://doi.org/10.1117/12.279528
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Computer programming

Algorithm development

Detection and tracking algorithms

Surveillance

Data fusion

Mathematics

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