Design of Human-computer Interaction System for Infrared Small Target Detection

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Abstract
Infrared (IR) passive detection technology is widely utilized for identifying small targets over long distances, owing to its robust anti-interference capabilities and all-weather functionality. As of now, numerous IR small target detection algorithms have been publicly published. To promote research in this field, this paper first briefly introduces single IR small target detection algorithms, which are primarily categorized as model-driven and data-driven. Subsequently, the paper presents human-computer interaction (HCI) systems tailored to these two algorithm categories, incorporating a total of 20 existing model-driven algorithms and 15 data-driven algorithms, respectively. Ultimately, the paper delves into potential avenues for optimizing HCI system design. The proposed IR small target detection HCI systems not only improve user-friendliness, but also provide a benchmark platform for experimental comparison. The introduction of relevant HCI systems can be found on kourenke/GUI-system-for-IR-small-target-detection (github.com).

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