Paper
1 September 1995 Multiple sensor tracking with multiple frame, probabilistic data association
Oliver E. Drummond
Author Affiliations +
Abstract
Probabilistic data association algorithms are described for tracking multiple targets with multiple sensor. These algorithms employ multiple frames in the data association processing. These approaches offer improved performance over Joint Probabilistic Data Association tracking. This improved performance is observed, however, at the expense of increased processing load. Three approaches are described that employ multiple frame data association. With these algorithms, design parameters can be selected to adjust performance to suit a specific application.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oliver E. Drummond "Multiple sensor tracking with multiple frame, probabilistic data association", Proc. SPIE 2561, Signal and Data Processing of Small Targets 1995, (1 September 1995); https://doi.org/10.1117/12.217708
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CITATIONS
Cited by 7 scholarly publications and 3 patents.
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KEYWORDS
Composites

Sensors

Detection and tracking algorithms

Target recognition

Data processing

Matrices

Filtering (signal processing)

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