METRIC: a complete methodology for performances evaluation of automatic target Detection, Recognition and Tracking algorithms in infrared imagery
This work addresses performance assessment for military or surveillance applications, but it appears incremental as it focuses on methodology rather than new algorithms.
The authors tackled the problem of evaluating automatic target detection, recognition, and tracking algorithms in infrared imagery by proposing a complete methodology for objective dataset development and task-specific metrics, with results processed in a French-MoD program called 2ACI.
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``).