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

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arxiv 2411.06695 v1 pith:RW2OD2OJ submitted 2024-11-11 eess.IV cs.CV

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

J\'er\^ome Gilles , St\'ephane Landeau , Tristan Dagobert , Philippe Chevalier , Eric Sti\'ee , Damien Diaz , Jean-Luc Maillart This is my paper
classification eess.IV cs.CV
keywords detectionrecognitiontrackingalgorithmsautomaticcompleteevaluationmethodology
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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``).

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