Abstract
The H-PMHT is a multi-target tracking algorithm that uses images as the measurement input; we refer to tracking over images as track-before-detect (TkBD). What makes the method worth attention is that its execution cost grows linearly with the number of targets. Examples of other multiple target TkBD occasionally demonstrate as many as six concurrent targets. Later in this book, we will show you an application with almost 30,000! The mathematics under the bonnet assumes numerous targets and can handle significantly big problems. However, this mathematics and bookkeeping its notation can be a little daunting. Before we embark upon that sanative expedition, this chapter presents a simple example of the algorithm’s performance, which will perhaps fortify the reader’s resolve.
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Davey, S.J., Gaetjens, H.X. (2018). Idealised Track-Before-Detect. In: Track-Before-Detect Using Expectation Maximisation. Signals and Communication Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-7593-3_2
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DOI: https://doi.org/10.1007/978-981-10-7593-3_2
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