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- W2012128626 abstract "The detection and tracking of multiple targets in the presence of clutter in the infrared images involve the use of sophisticated algorithms and signal processing that are important aspects of the development of massively parallel processing skills. The problem is difficult if the target intensity is low and is of small size compared to the clutter. Further, the target size and velocity are usually unknown. It is desirable to obtain optimum filtering to detect low-intensity targets and to evaluate the performance of the filter and tracking algorithms based on observed data. The problem of tracking the targets by computer has been developed. However, an accurate clutter model is the key to precise target detection. Clutter is usually a non-stationary process. It is necessary to estimate the power spectral density of the clutter in real-time such that a multi-dimensional matched filter can be designed to detect the targets. This paper formulates the model and filter design." @default.
- W2012128626 created "2016-06-24" @default.
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- W2012128626 date "1995-07-05" @default.
- W2012128626 modified "2023-10-16" @default.
- W2012128626 title "<title>Model for the detection and tracking of multiple targets</title>" @default.
- W2012128626 doi "https://doi.org/10.1117/12.213012" @default.
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