Target-tracking systems rely on algorithms that plot the movement, speed and position of threats, while filtering background noise that obscures this data or produces false alarms. Algorithms have been formulated that address most tracking needs with varying degrees of success, but it appears that no single algorithm has thus far been able to meet every tracking need, especially when it comes to distinguishing one or more dynamic targets from background noise. This could change. ...


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