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Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation
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Comparing Human Performance on Target Localization in Near Infrared and Long Wave Infrared for Cluttered

Li Zhang1, Mark Martino1, Orges Furxhi2

  • 1CREOL, College of Optics and Photonics, University of Central Florida, Orlando, FL 32816, USA.

Sensors (Basel, Switzerland)
|October 26, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) shows promise in object detection, especially in long-wave infrared (LWIR) imaging. AI may outperform humans in detecting distant targets in complex environments using LWIR images.

Keywords:
human perceptioninfrared imagingmachine vision

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Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Human-Computer Interaction

Background:

  • AI model performance is frequently compared, but human capabilities are often overlooked.
  • Understanding human visual perception is crucial for benchmarking AI object detection.

Purpose of the Study:

  • To investigate human target detection abilities in cluttered Near-Infrared (NIR) and Long-Wave Infrared (LWIR) images.
  • To establish a baseline for human performance to aid AI object detection analysis.

Main Methods:

  • Utilized perception tests to evaluate human object detection.
  • Employed a human performance model to analyze detection capabilities.
  • Compared performance across NIR and LWIR imaging modalities.

Main Results:

  • Distinct differences in target detectability were observed between NIR and LWIR images.
  • LWIR imaging showed reduced effectiveness at longer distances but greater environmental robustness.
  • Humans demonstrated varying detection accuracies depending on the imaging type and range.

Conclusions:

  • AI may offer significant advantages for object detection in LWIR imagery.
  • AI has the potential to surpass human accuracy in long-range object detection, particularly in LWIR.
  • This research provides a foundation for evaluating AI object detection against human performance benchmarks.