English

METRIC: a complete methodology for performances evaluation of automatic target Detection, Recognition and Tracking algorithms in infrared imagery

Image and Video Processing 2024-11-12 v1 Computer Vision and Pattern Recognition

Abstract

In this communication, we deal with the question of automatic target detection, recognition and tracking (ATD/R/T) algorithms performance assessment. We propose a complete methodology of evaluation which approaches objective image datasets development and adapted metrics definition for the different tasks (detection, recognition and tracking). We present some performance results which are currently processed in a French-MoD program called 2ACI (``Acquisition Automatique de Cibles par Imagerie``).

Keywords

Cite

@article{arxiv.2411.06695,
  title  = {METRIC: a complete methodology for performances evaluation of automatic target Detection, Recognition and Tracking algorithms in infrared imagery},
  author = {Jérôme Gilles and Stéphane Landeau and Tristan Dagobert and Philippe Chevalier and Eric Stiée and Damien Diaz and Jean-Luc Maillart},
  journal= {arXiv preprint arXiv:2411.06695},
  year   = {2024}
}