Paper
27 July 2004 Using prior information to enhance tracking
Author Affiliations +
Abstract
The accuracy of tracking can be enhanced by the incorporation of prior information in the form of a local road map. For instance, the performance of ground target tracking algorithms can be improved by incorporating hard constraints (describing roads and junctions) into the tracking model. We describe an approach to enhancing tracking algorithms that uses 'probability fields' to represent the local road map information. The resulting 'Bayes-filter' equations are solved using particle filters and compared with a basic particle filter with no additional map information.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter S. Day and Peter Bladon "Using prior information to enhance tracking", Proc. SPIE 5430, Acquisition, Tracking, and Pointing XVIII, (27 July 2004); https://doi.org/10.1117/12.543623
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Cited by 1 scholarly publication.
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KEYWORDS
Roads

Particle filters

Process modeling

Particles

Data modeling

Filtering (signal processing)

Detection and tracking algorithms

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