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``).

翻译：本文探讨了自动目标检测、识别与跟踪（ATD/R/T）算法的性能评估问题。我们提出了一套完整的评估方法学，涵盖客观图像数据集的构建以及针对不同任务（检测、识别与跟踪）的适配度量指标定义。同时，我们展示了当前在法国国防部2ACI（“通过成像自动获取目标”）项目中处理的部分性能评估结果。