Paper
3 September 1998 Tracking in the presence of intermittent spurious objects and clutter
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Abstract
The sampling based bootstrap filter is applied to the problem of maintaining track on a target in the presence of intermittent spurious objects. This problem is formulated in a multiple hypothesis framework and the bootstrap filter is applied to generate the posterior distribution of the state vector of the required target - i.e. to generate the target track. The bootstrap technique facilitates the integration of the available information in a near-optimal fashion without the need to explicitly store and manage hypotheses from previous time steps.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David J. Salmond, David J. Fisher, and Neil J. Gordon "Tracking in the presence of intermittent spurious objects and clutter", Proc. SPIE 3373, Signal and Data Processing of Small Targets 1998, (3 September 1998); https://doi.org/10.1117/12.324639
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CITATIONS
Cited by 12 scholarly publications.
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KEYWORDS
Sensors

Composites

Digital filtering

Electronic filtering

Optical resolution

Astatine

Data modeling

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